Software Developer jobs at INFICON - 177 jobs

Now Hiring: Systems Software Engineer II 📍 Denver , Colorado | 💰 $108,000 - $135,000 per year 🏢 About the Role We're looking for an experienced Systems Software Engineer II to join Sunbelt Controls, a leading provider of Building Automation System (BAS) solutions across the Western U.S. In this role, you'll develop and program databases, create custom graphics, and integrate control systems for smart buildings. You'll also support project startups, commissioning, and troubleshooting - working closely with project managers and engineers to deliver high-quality, energy-efficient building automation solutions. If you have a passion for technology, problem-solving, and helping create intelligent building systems, this opportunity is for you. ⚙️ What You'll Do Design and program BAS control system databases and graphics for assigned projects. Lead the startup, commissioning, and troubleshooting of control systems. Work with networked systems and diagnose LAN/WAN connectivity issues. Perform pre-functional and functional system testing, including LEED and Title 24 requirements. Manage project documentation, including as-builts and commissioning records. Coordinate with project teams, subcontractors, and clients for smooth execution. Mentor and support junior Systems Software Engineers. 🧠 What We're Looking For 2-5 years of experience in Building Automation Systems or a related field. Associate's degree in a technical field (Bachelor's in Mechanical or Electrical Engineering preferred). Proficiency in MS Office, Windows, and basic TCP/IP networking. Strong organizational skills and the ability to manage multiple priorities. Excellent communication and customer-service skills. Valid Colorado driver's license. 💎 Why You'll Love Working With Us At Sunbelt Controls, we don't just build smart buildings - we build smart careers. As a 100% employee-owned company (ESOP), we offer a supportive, growth-oriented environment where innovation and teamwork thrive. What we offer: Competitive salary: $108K - $135K, based on experience Employee-owned company culture with a family-oriented feel Comprehensive health, dental, and vision coverage Paid time off, holidays, and 401(k)/retirement plan Professional growth, mentorship, and ongoing learning opportunities Veteran-friendly employer & Equal Opportunity workplace 🌍 About Sunbelt Controls Sunbelt Controls is a premier BAS solutions provider serving clients across multiple industries, including data centers, healthcare, education, biotech, and commercial real estate. We specialize in smart building technology, system retrofits, analytics, and energy efficiency - helping clients reduce operational costs and achieve sustainable performance. 👉 Apply today to join a team that's shaping the future of intelligent buildings. #Sunbelt #BuildingAutomation #SystemsEngineer #HVACControls #BASCareers

_Work Mode: Hybrid_ **Opportunity** Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. **In your role as Software Engineer at Kohler Ventures you will:** + Work directly with the Head of Software, software engineering team, and product teams + Design could backend architecture that can scale with the business growth of Kohler Ventures + Build the forward-looking vision and lead the effort to understand and drive requirements with hardware/software teams. + Coordinate with product development teams to execute rollout/adoption of common libraries, services, and patterns + Measurably improve code normalization across one or more critical code concerns throughout the codebase **Skills/Requirements** **Required Qualifications** + Bachelor's degree in CS/engineering or related technical discipline from a reputed academic institution. Master's preferred. + 3+ years of professional software development experience + 1+ years of work experience within a backend-focused software engineering team, leveraging cloud Platform to deploy highly reliable and scalable cloud applications. + 3+ years of development experience using NodeJS, TypeScript + PostgreSQL database + Distributed, scalable backend systems + Broad interest spanning from early prototyping to shipping finished features + Minimal travel both domestic and international as needed. + Availability to work outside of standard business hours to be able to collaborate with teams and vendors across multiple time zones. **Preferred Qualifications** + AWS experience preferred. + Strong technical experience in some of the following areas: + Selection and integration of services in the AWS stack + Kubernetes, ArgoCD (K8S controller) + DevOps processes + AWS CDK + Github Actions + Data streaming architectures and methodologies such as Kafka, Solace + Champion for quality in code, processes, and culture + Positive, can-do attitude with a high degree of ownership and self-motivation to drive change + Entrepreneurial experience in a high growth technology focused company or startup + Exemplary collaboration skills across teams, geographies, and functions \#LI-NR1 \#LI-Hybrid **_We will consider applicants requiring sponsorship for this opportunity._** _The base salary range for this position is $115,100 - $143,850. The actual base salary offered to a candidate may be higher than the approved range. This will vary depending on a variety of factors including the candidate's experience, their education, and the work location. This position is subject to Area Salary Differential (Cost of Living Adjustment) that ranges from 16% of base salary for the NYC metro area. The base salary range including ASD for this position is $133,516- $166,866 depending on location. In addition, this position is eligible for a performance bonus and a special project incentive. Available benefits include medical, dental, vision and 401k._ **Why Choose Kohler?** We empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we're driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. **About Us** It is Kohler's policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact ********************* . Kohler Co. is an equal opportunity/affirmative action employer.

We are seeking a motivated Software Engineer to join our Streaming Services Engineering team. You'll work on building and maintaining the core services that powers MLB's streaming platform, enabling millions of fans to watch live and on-demand baseball content across multiple platforms and devices. This role offers the opportunity to work on a diverse, modern tech stack across multiple microservices, contribute to high-impact features, and grow your skills in distributed systems, event-driven architecture, and cloud-native development. Responsibilities * Design, build, enhance, and maintain Java-based microservices that power MLB's streaming platform, including content access control, media pipeline orchestration, partner integrations, and playback services * Implement new features and improve existing services to enhance performance, scalability, reliability, and maintainability * Write clean, testable, and well-documented code following best practices and team standards, including unit and integration tests * Build and maintain GraphQL APIs (queries and mutations) and integrate with internal and external services * Develop event-driven workflows using message queues (e.g., ActiveMQ, Pub/Sub) * Debug and resolve production issues by analyzing logs, monitoring performance, and implementing fixes * Collaborate with senior engineers, product managers, and cross-functional partners throughout the development lifecycle * Participate in agile ceremonies such as sprint planning, standups, retrospectives, and technical design reviews * Review pull requests, provide constructive feedback, and contribute to shared code quality standards * Learn through mentorship, pair programming, and knowledge sharing via documentation and team presentations Qualifications & Skills Required Qualifications * Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience * Experience delivering backend software and services using JVM-based languages (Python, JavaScript, or frontend experience is a plus) * Familiarity with Agile development processes and modern software development tools (IDEs, source control, CI/CD pipelines, testing frameworks) * Exposure to distributed systems, event-driven architectures, and client-facing APIs * Experience collaborating with senior engineers to support large-scale production systems Preferred Qualifications * Experience with microservices architectures * Experience building or consuming GraphQL APIs * Experience with message queues or streaming platforms (ActiveMQ, RabbitMQ, Google Pub/Sub, Kafka) * Experience with cloud platforms such as GCP or AWS * Experience with Docker and Kubernetes * Interest in or experience with streaming media, content delivery, or sports technology Salary Range: $120,000 - $155,000 (Base Salary) + Bonus As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, skills and any other factors Major League Baseball (MLB) considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees. Top MLB Perks & Benefits * Competitive Benefits Package * Company 401K Contribution * Paid Time Off and Holidays * Paid Parental Leave * Access to Free Tickets to Baseball Games & TV * Discounts at MLB Store | com * Employee Assistance Programs (EAP) * Onsite/Online Training & Development Programs * Tuition Reimbursement * Disability Benefits (short term and long term) * Life and Accidental Death Insurance * Pet Insurance

QSC is creating exceptional, people-centric experiences with the perfect balance of technology and creativity. Q-SYS, our innovative full stack audio, video and control platform, unifies data, devices and a cloud-first architecture, empowering organizations to deliver transformative AV experiences across built spaces. Building on the QSC legacy, QSC Audio delivers audio technology that empowers live entertainers and sound reinforcement professionals with the confidence to create and deliver memorable experiences for their audiences. Atrius, Distech Controls and QSC are part of the Acuity Intelligent Spaces (AIS) business segment. Our mission is to make spaces smarter, safer and greener through our strategy of connecting the edge with the cloud using disruptive technologies that leverage data interoperability. Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people's lives. We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals. Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at ****************** Job Summary The Python Software Engineer develops scripts, applications, and solutions across the full suite of Audio, Video, Control -- and Building System spaces -- focusing on solving the problems that can't be solved traditionally. The team focuses at the intersetion of physical spaces, AV systems, building systems, and artificial intelligence. Join us as we not only imagine the future of intelligent spaces -- but develop them! We are progressive with technology, move fast, and drive outcomes that are then incorporated into larger and broader production applications. Key Tasks & Responsibilities (Essential Functions) * Write python code to support research, AI, and data activities within the applied research team. * Code review and ideation. * Support demonstrations, lab activities, and tradeshow presence. * Other duties as assigned. Skills and Minimum Experience Required * Bachelor's Degree or Equivalent * Fluent knowledge of Python and implementation across Windows and Linux required. * Experience with LangChain, MCP, RAG A2A required * Experience with typical python libraries (async, json, typing, pandas, scikit-learn, etc.) required * Experience with Docker required. * Experience in BMS (Building Management Services) or A/V (Audio/Visual) systems and programming a plus. * Experience in Microsoft Azure a plus. * Experience with Weights and Biases a plus. QSC. is owned by Acuity Inc., which is located in the United States. These companies share a global recruitment system on which the data you provide will be stored, and which will be subject to the laws of the United States of America. The range for this position is $93,000 to $167,400. Placement within this range may vary, depending on the applicant's experience and geographic location. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on role. For a list of our benefits, click here. We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law. Please click here and here for more information. Accommodation for Applicants with Disabilities: As an equal opportunity employer, Acuity Inc. is committed to providing reasonable accommodations in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need accommodation, you may contact us at **************. Please clearly indicate what type of accommodation you are requesting and for what requisition. Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc. employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor, but does not have the appropriate approvals to be engaged on a search. E-Verify Participation Poster e-verify.gov eeoc.gov Nearest Major Market: Boulder Nearest Secondary Market: Denver Job Segment: Software Engineer, Cloud, Developer, Machinist, Linux, Engineering, Technology, Manufacturing

Viam helps companies unlock the power of AI, data and automation in the physical world. We provide a single platform for engineers of all disciplines to solve problems together and build solutions that are fast and future-proof. Viam powers solutions across robotics, food and beverage, climate tech, marine, industrial manufacturing, and more. Founded in 2020 by former MongoDB co-founder and CTO Eliot Horowitz, Viam is headquartered in New York City. Viam's products are built by engineers, for engineers. We want to build a platform we would want to use ourselves. We are looking for students studying computer science or related fields to collaborate with our full-time engineers on building out the software for our platform. Our current tech stack consists of Golang (backend), ES.Next/TypeScript/Svelte/Vue.js (frontend), Linux, MongoDB (database), and a variety of hardware. This is a software engineering internship, not hardware. You'll be: Working across the stack on the new and unique problems in robotics and cloud computing Fully integrated with the full-time engineering team Using state of the art technologies that best tackle our problems at hand Learning engineering best practices in real-world production environments Playing with robotics hardware to test out the software we build We're looking for someone who: In the process of receiving a Bachelor's or Master's degree in Computer Science, Computer Engineering, Robotics, or related field, with at least one additional term after the end of the internship Available to intern in person at our New York City office for 10-12 weeks during the summer of 2026 Strong foundation in computer science fundamentals including algorithms, data structures, architecture and/or robotics Experience with various programming languages Benefits Free lunch everyday that you are in the office 3 vacation days to be used throughout the summer Full-time Benefits: Viam's base salary range for this role is posted above. Your exact offer will vary based on factors, including experience level, skillset, market location, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced, or more senior, than this job description as posted. In these situations, the updated salary range will be communicated to you as a candidate. In addition to cash compensation, Viam offers a comprehensive Total Rewards package that includes equity grants, health benefits, and more. 100% covered medical/dental/vision insurance plans, commuter benefits 25 days paid vacation and generous holiday observances Free lunch every day that you're in the office One Medical Membership Citi Bike memberships Monthly wellness stipend to be used for a variety of fitness-related items like gym memberships, fitness classes, fitness equipment, and more Paid parental leave Reproductive Health Benefits, including Fertility Benefits and Abortion Access Travel Benefits Values: Vision Driven Collaborate Openly Act Decisively Succeed Through Diversity Hold Ourselves Accountable Lead with Curiosity To all recruitment agencies: Viam does not accept unsolicited agency resumes or calls from recruitment agencies or search firms. Please do not forward resumes to our jobs alias or Viam employees. Viam is not responsible for any fees related to unsolicited resumes.

About Us: Ocean Optics is a fast-paced, high performing and high growth organization that was recently named one of Orlando's Best Places to work! Our people thrive in an inclusive, innovative, and collaborative culture. Join our team of instigators of the possible where WE MEASURE WHAT MATTERS .For more information please visit ************************** ABOUT THE OPPORTUNITY Join our innovative team as a Software Engineer II, where you'll roll up your sleeves and learn by doing. In this role, you will support the development of innovative spectroscopy instruments by collaborating with a multidisciplinary team of experienced engineers and scientists. This full-time position offers an immersive experience in system architecture, hands-on design, and cross-functional project collaboration, all while contributing to a dynamic new product development portfolio. Specifically, this role will involve: * Systems Architecture: Contribute to both high-level system frameworks and low-level design details. Integrate subsystems, participate in testing, and observe how technical decisions align with broader business goals. * Hands-on Development: Get involved with the end-to-end process-from initial concept and design to build, test, and pilot shipments. * Cross-functional Collaboration: Work closely with engineers and scientists from other disciplines, including electrical and optomechanical engineering, color science, spectroscopy, and data analysis. * Technical Reporting: Design and conduct experiments, and analyze qualitative and quantitative data to support future development decisions. ABOUT THE CANDIDATE We're looking for a passionate candidate who is eager to learn and contribute to groundbreaking products. The ideal candidate should have: * Educational Background: Completed a Bachelor's or Master's program in Computer Science, Electrical Engineering, Computer Engineering, or a related field. * Work Experience: 4+ years of work experience in a related field is desirable (or, a Master's degree and 2+ years of experience) * Desired Skills: * Eagerness for collaboration, learning, and contributing innovative ideas * An understanding of experimental methods and an interest in automation * Strong knowledge of C++ fundamentals * Basic automation and data analysis in a scripting language like Python/MATLAB * Basic knowledge of electrical circuits and microcontrollers * Strong analytical abilities, clear technical communication, and a proactive approach to problem solving * Additional Qualities: * A high standard of ethics and integrity * An entrepreneurial mindset with a desire to push boundaries ABOUT THE COMPANY Ocean Optics pioneered miniature spectrometers and delivers spectral solutions to researchers, OEMs and industrial customers, also designs and builds industrial-grade photonics systems for material inspection, chemical identification and quality assurance. Our mission is to lead in creating precise yet practical optical solutions that enable researchers and industry to solve meaningful problems in health, safety and the environment. We have discovered, refined and delivered new approaches to solving problems with spectroscopy and imaging technologies. Backed by deep experience, we are working within applications including biomedical, semiconductors, research & science, industrial, environmental, food & agriculture, and safety & security. We partner with customers to achieve ambitious goals, leveraging the power of light for advancement in health, safety and the environment. With more than 200 employees worldwide, including in the US, Europe, and Asia, we leverage the wealth of knowledge from a diverse and multidisciplinary team, which drives our growth and high performance. Ocean Optics is a subsidiary of Halma plc, an international market leader in safety, health, and environmental technology. ABOUT THE PERKS Ocean Optics offers a comprehensive compensation package and health and wellness benefits. Also, as a member of the Halma Group of companies (*************** our employees enjoy excellent career development, networking, and advancement opportunities worldwide. EQUAL OPPORTUNITY EMPLOYER Ocean Optics is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. COMPENSATION The pay range for this position is $113,305 - $124,178 per year; however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience. #LI-KS1 #LI-Onsite

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. What you'll work on * Predicting contact volume: Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine the optimal number of support agents required for specific days and times. * Scheduling 1000s of support agents: Designing and implementing interfaces to collect and store team preferences and customer business constraints (e.g., labor laws), enabling the creation of optimal schedules for teams of thousands of support agents based on these forecasts and constraints. (check out ******************************************************* * MLOps: Enhancing machine learning efficiency and operations to support rapid model deployment and iteration. About you (specifically) * Experience with translatable languages: Extensive back-end engineering experience in statically typed languages like Go, Java, or Rust. * Familiarity with ML packages and software: Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work. * Background in ML or algorithmic teams: Previous experience working on a machine learning or algorithmic team. * Passion for performance: A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling.

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Role We're looking for a software engineer to lead security engineering at Assembled. You'll build infrastructure, systems, and processes that maintain the security and confidentiality of Assembled's data, both for our AI agents product and our workforce management product. As we anticipate these products to continue growing rapidly in scale, we must ensure that our security infrastructure also evolves to meet industry standards. This is a hands-on engineering role that involves writing and reviewing code on a daily basis, so strong programming fundamentals are required. By joining our Security team, you'll have the opportunity to work on 0-to-1 problems across various domains within security: application, infrastructure, and data. This role engages especially closely with our Infrastructure team to ensure that we provide a secure and reliable platform to our customers and their data. Responsibilities Design and implement secure, scalable code at the application, platform, and infrastructure levels Perform security assessments, code audits, and design reviews Own the vulnerability management lifecycle end-to-end Create policies, processes, and tooling that enhance Assembled's security posture Example Projects Migrate our authentication system to an industry-standard identity provider, improving access control and auditability across our products Conduct a comprehensive review of our networking setup (e.g. VPCs, subnets, ingress/egress rules) and implement changes to align with cloud infrastructure security best practices Develop new data anonymization workflows in our analytics pipelines to enhance privacy protections while maintaining usability for internal teams Build and maintain automation to streamline security processes (e.g. access reviews, vendor security assessments, and security questionnaires) for both engineering and go-to-market teams You may be a good fit if you: Have deep expertise in a backend programming language (Golang and Python preferred), as well as security frameworks and libraries Have 5+ years of experience in security engineering, including 2+ years leading large scale, complex projects as an engineer or tech lead Have solid foundational knowledge of security engineering principles and technologies Have hands-on, technical expertise securing and managing cloud infrastructure Have experience leading your organization to comply with security standards and regulations such as SOC 2 and GDPR Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices 401(k) plan enrollment We know great candidates don't always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Team Our AI Products Team is building autonomous AI agents that handle the most challenging aspects of customer support and let human agents focus on high-value interactions. After launching the product's go-to-market motion, the Assist product line grew 5x in just 3 months to millions of ARR, with a strong pipeline of deals for even more growth. We're already deploying our systems at leading tech companies like Canva, Patreon, and Babylist, giving us complex real-world scenarios to solve with rapid feedback loops. The engineering challenges are significant: building autonomous agents that can reliably handle customer interactions, designing systems that scale across communication channels, and pushing the boundaries of what's possible with current LLM technology. Operating as an team led by CTO John Wang, we're focused on eliminating low-leverage support work and helping agents send faster, more accurate replies. Examples of what you might work on: Scaling LLMs with Golang Enhancing RAG results with Reciprocal Rank Fusion and Hybrid Search Pioneering new LLM evaluation techniques Responsibilities As a Software Engineer on the AI Products Team, you will: Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets. You'll help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents. Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings. You'll help us leverage implicit knowledge bases like past tickets and macros to improve model performance. Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications. You'll design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities. Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives. Wear many hats: Be versatile in roles - coding, user research, planning, brainstorming, interviewing, and cross-team collaboration. Shape the team culture: Encourage a startup mentality that's all about staying positive, aiming for top-notch product quality, and taking initiative. About You You might be a good fit if you: Have 5+ years of experience in software engineering as an individual contributor. Are highly ambitious and driven and set high goals for yourself and others. Put customers first, focusing on real problem-solving and making life easier for support agents. Enjoy fast-paced environments and can quickly adjust when new insights come from customers or prospects. Have a bit of a maverick streak that helps you come up with creative solutions for tough problems. Have made a noticeable impact on small teams and have solid experience contributing in startups or smaller companies. Have worked with LLMs and are excited to dive into them every day. Stay humble and open to feedback, value teamwork, and are always ready to learn and grow. Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices 401(k) plan enrollment We know great candidates don't always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Role We're looking for an experienced software engineer to help shape the foundation of Assembled's data systems. You'll join our Data Infrastructure team, a close partner to both our Core Infrastructure and AI Infrastructure teams, to own how data is modeled, stored, and served across the company. This work powers everything from customer-facing dashboards to internal analytics and AI-driven product features. We're currently rebuilding our metrics infrastructure from the ground up. Our legacy Go-based system made it difficult to scale, maintain, and trust the metrics we expose. We're building a new analytics stack that enables fast, reliable metric queries and simplifies the development of new reports. You'll be joining at a pivotal moment-early prototypes are in place, and we're working toward a full-scale production rollout and long-term migration. The team also plays a central role in the development of Assembled's AI platform, Assist. As we unify our WFM and AI products into a single Human + AI experience, the Data Infrastructure team is responsible for the analytics that help customers understand how Assist is adopted, how it impacts performance, and where to optimize. You'll collaborate closely with the Assist team to build robust data models and systems that support this functionality. One of the more unique challenges in this role is that our data infrastructure doesn't just support internal analytics-it powers customer-facing product experiences. While some outputs are traditional dashboards, others require near real-time responsiveness. As a result, our stack must support both large-scale analytical queries and low-latency, user-triggered interactions-capabilities that most analytics systems are not architected to handle simultaneously. We're building a unified system that can do both, without introducing mismatched data or duplicated definitions. In this role you'll: Design and build systems that power both the storage and retrieval of analytical data Own the transformation layer that models data for fast, consistent metric queries Define and maintain the metrics layer that supports dashboards, exports, APIs, and internal tools Collaborate with product, infrastructure, and Assist teams to build rich reporting experiences-like helping customers measure ROI on AI adoption Manage scalable pipelines that move and transform production data for analysis Instrument observability into the data platform, including freshness, lineage, and correctness You may be a good fit if you: Have experience working with modern data warehouses (e.g., Snowflake, BigQuery) and understand their performance characteristics Have built or maintained end-to-end ELT pipelines and are comfortable choosing the right level of precomputation Have designed or worked closely with a metrics or semantic layer, and understand how to define metrics that are consistent, queryable, and performant across reporting surfaces Are comfortable reasoning about systems tradeoffs-latency, cost, developer velocity, and reliability Take pride in building systems that are clear, maintainable, and empower others Have strong SQL fluency and are comfortable reading query plans, debugging slow queries, and optimizing for performance Nice to have (but not required): Experience with semantic layer tools like Cube, MetricFlow, or Looker's LookML Familiarity with analytics-focused software engineering (e.g., event tracking, funnel analysis, experiment platforms) Experience modernizing legacy data systems or planning large-scale migrations Experience collaborating cross-functionally with AI/ML teams or product managers focused on AI systems Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices 401(k) plan enrollment We know great candidates don't always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. What you'll work on Predicting contact volume: Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine the optimal number of support agents required for specific days and times. Scheduling 1000s of support agents: Designing and implementing interfaces to collect and store team preferences and customer business constraints (e.g., labor laws), enabling the creation of optimal schedules for teams of thousands of support agents based on these forecasts and constraints. (check out ******************************************************* MLOps: Enhancing machine learning efficiency and operations to support rapid model deployment and iteration. About you (specifically) Experience with translatable languages: Extensive back-end engineering experience in statically typed languages like Go, Java, or Rust. Familiarity with ML packages and software: Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work. Background in ML or algorithmic teams: Previous experience working on a machine learning or algorithmic team. Passion for performance: A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling. We know great candidates don't always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Role We're looking for a software engineer to join our Infrastructure team-building and operating the core systems that power our rapidly growing AI agent platform for customer support. Our AI Agents automates support workflows across email, chat, and voice, and has grown from $0 to $1M in ARR in just 3 months. As adoption accelerates, we're investing deeply in scaling its infrastructure to meet increasing demand and security expectations from enterprise customers. As part of the AI Infrastructure team, you'll be responsible for the systems that enable Assist to be fast, reliable, and secure. You'll work on foundational platform components that power real-time LLM usage at scale, while also exploring how AI can be leveraged internally to make our engineering team more productive. This team is highly cross-functional, working closely with the AI, security, and product engineering teams. This is a high-ownership role for someone who's excited by 0-to-1 building and shaping the infrastructure backbone of our AI products. Some projects owned by the Infrastructure team Agent service reliability and scaling: We manage and scale the infrastructure that serves LLM-powered agents across chat, email, and voice. This includes selecting inference strategies, integrating with model providers (e.g. OpenAI, Anthropic), and dynamically routing traffic for performance and cost efficiency. Prompt and embedding storage systems: Assist relies heavily on dynamically generated prompts and semantic search across support content. The team owns highly-available, fast-access storage and indexing layers optimized for real-time AI interactions. Privacy and security: Enterprises expect strict guardrails around AI use. We're building systems like network-level intrusion detection (IDS/IPS), audit logging, and LLM usage policy enforcement to meet these expectations and unlock new sales channels. Observability and usage analytics: We operate systems that surface key metrics-token usage, latency, cost per response, and quality signals-so the Assist team can continuously improve Assist's performance and accuracy. AI-powered developer tools: We are beginning to explore and evangelize the use of AI to accelerate internal engineering workflows-through internal chat agents, pair programming tools, and intelligent automation for deployment, debugging, and on-call. Our goal is to empower engineers across the company to build faster and more confidently with AI. You may be a good fit if you: Have 6+ years of engineering experience, with past ownership of high-scale, production-critical infrastructure Have experience with distributed systems and container orchestration (especially Kubernetes) Have worked with AI/ML platforms or are excited to build foundational infrastructure for LLM-based applications Thrive in fast-paced environments with shifting requirements and ambiguous problem spaces Are motivated by impact, enjoy deep technical challenges, and want to work cross-functionally across security, AI, and product Have strong familiarity with one or more parts of our tech stack: Cloud provider: AWS Orchestration: Kubernetes + Karpenter LLM integration: Experience with OpenAI, Anthropic, or open-source model serving (e.g., vLLM, HuggingFace TGI, Ray Serve) Prompt & embedding infrastructure: Vector databases (e.g., Pinecone, Weaviate, PGVector), semantic search, prompt templating systems Datastores: Postgres + PgBouncer, Snowflake, Redis Languages: Go and Python Monitoring & CI/CD: Datadog, Mezmo, CloudWatch, Buildkite, CircleCI Our U.S. benefits Generous medical, dental, and vision benefits Paid company holidays, sick time, and unlimited time off Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting Paid parental leave Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices 401(k) plan enrollment We know great candidates don't always meet every requirement listed in a job description. If the role excites you and you believe you can make an impact at Assembled, we encourage you to apply. We value diverse perspectives and are committed to building an inclusive workplace where everyone feels like they belong and has the opportunity to do their best work. We look forward to hearing from you! Assembled participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Team Our AI Products Team is building autonomous AI agents that handle the most challenging aspects of customer support and let human agents focus on high-value interactions. After launching the product's go-to-market motion, the Assist product line grew 5x in just 3 months to millions of ARR, with a strong pipeline of deals for even more growth. We're already deploying our systems at leading tech companies like Canva, Patreon, and Babylist, giving us complex real-world scenarios to solve with rapid feedback loops. The engineering challenges are significant: building autonomous agents that can reliably handle customer interactions, designing systems that scale across communication channels, and pushing the boundaries of what's possible with current LLM technology. Operating as an team led by CTO John Wang, we're focused on eliminating low-leverage support work and helping agents send faster, more accurate replies. Examples of what you might work on: * Scaling LLMs with Golang * Enhancing RAG results with Reciprocal Rank Fusion and Hybrid Search * Pioneering new LLM evaluation techniques Responsibilities As a Software Engineer on the AI Products Team, you will: * Build foundational new features: Develop product features from the ground up, such as implementing translation capabilities powered by LLMs and intelligent categorization of incoming tickets. You'll help design and build a workflow builder that distills the complexity of workflows into a simple, intuitive interface, making powerful tools accessible and easy to use for support agents. * Improve LLM model results: Enhance our retrieval augmented generation engine using techniques like vector search, document re-ranking, and hypothetical document embeddings. You'll help us leverage implicit knowledge bases like past tickets and macros to improve model performance. * Develop LLM Infrastructure: Architect the abstractions that enable the integration of various types of LLMs tailored for different applications. You'll design and implement evaluation and logging systems to monitor performance and build interfaces that expand our platform's capabilities. * Engage with customers: Collaborate with our customers (both support agents and managers) to understand their needs, how they interact with our product, and how we can improve their lives. * Wear many hats: Be versatile in roles - coding, user research, planning, brainstorming, interviewing, and cross-team collaboration. * Shape the team culture: Encourage a startup mentality that's all about staying positive, aiming for top-notch product quality, and taking initiative. About You You might be a good fit if you: * Have 5+ years of experience in software engineering as an individual contributor. * Are highly ambitious and driven and set high goals for yourself and others. * Put customers first, focusing on real problem-solving and making life easier for support agents. * Enjoy fast-paced environments and can quickly adjust when new insights come from customers or prospects. * Have a bit of a maverick streak that helps you come up with creative solutions for tough problems. * Have made a noticeable impact on small teams and have solid experience contributing in startups or smaller companies. * Have worked with LLMs and are excited to dive into them every day. * Stay humble and open to feedback, value teamwork, and are always ready to learn and grow. Our U.S. benefits * Generous medical, dental, and vision benefits * Paid company holidays, sick time, and unlimited time off * Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting * Paid parental leave * Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices * 401(k) plan enrollment

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Role We're looking for a software engineer to lead security engineering at Assembled. You'll build infrastructure, systems, and processes that maintain the security and confidentiality of Assembled's data, both for our AI agents product and our workforce management product. As we anticipate these products to continue growing rapidly in scale, we must ensure that our security infrastructure also evolves to meet industry standards. This is a hands-on engineering role that involves writing and reviewing code on a daily basis, so strong programming fundamentals are required. By joining our Security team, you'll have the opportunity to work on 0-to-1 problems across various domains within security: application, infrastructure, and data. This role engages especially closely with our Infrastructure team to ensure that we provide a secure and reliable platform to our customers and their data. Responsibilities * Design and implement secure, scalable code at the application, platform, and infrastructure levels * Perform security assessments, code audits, and design reviews * Own the vulnerability management lifecycle end-to-end * Create policies, processes, and tooling that enhance Assembled's security posture Example Projects * Migrate our authentication system to an industry-standard identity provider, improving access control and auditability across our products * Conduct a comprehensive review of our networking setup (e.g. VPCs, subnets, ingress/egress rules) and implement changes to align with cloud infrastructure security best practices * Develop new data anonymization workflows in our analytics pipelines to enhance privacy protections while maintaining usability for internal teams * Build and maintain automation to streamline security processes (e.g. access reviews, vendor security assessments, and security questionnaires) for both engineering and go-to-market teams You may be a good fit if you: * Have deep expertise in a backend programming language (Golang and Python preferred), as well as security frameworks and libraries * Have 5+ years of experience in security engineering, including 2+ years leading large scale, complex projects as an engineer or tech lead * Have solid foundational knowledge of security engineering principles and technologies * Have hands-on, technical expertise securing and managing cloud infrastructure * Have experience leading your organization to comply with security standards and regulations such as SOC 2 and GDPR Our U.S. benefits * Generous medical, dental, and vision benefits * Paid company holidays, sick time, and unlimited time off * Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting * Paid parental leave * Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices * 401(k) plan enrollment

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Role We're looking for an experienced software engineer to help shape the foundation of Assembled's data systems. You'll join our Data Infrastructure team, a close partner to both our Core Infrastructure and AI Infrastructure teams, to own how data is modeled, stored, and served across the company. This work powers everything from customer-facing dashboards to internal analytics and AI-driven product features. We're currently rebuilding our metrics infrastructure from the ground up. Our legacy Go-based system made it difficult to scale, maintain, and trust the metrics we expose. We're building a new analytics stack that enables fast, reliable metric queries and simplifies the development of new reports. You'll be joining at a pivotal moment-early prototypes are in place, and we're working toward a full-scale production rollout and long-term migration. The team also plays a central role in the development of Assembled's AI platform, Assist. As we unify our WFM and AI products into a single Human + AI experience, the Data Infrastructure team is responsible for the analytics that help customers understand how Assist is adopted, how it impacts performance, and where to optimize. You'll collaborate closely with the Assist team to build robust data models and systems that support this functionality. One of the more unique challenges in this role is that our data infrastructure doesn't just support internal analytics-it powers customer-facing product experiences. While some outputs are traditional dashboards, others require near real-time responsiveness. As a result, our stack must support both large-scale analytical queries and low-latency, user-triggered interactions-capabilities that most analytics systems are not architected to handle simultaneously. We're building a unified system that can do both, without introducing mismatched data or duplicated definitions. In this role you'll: * Design and build systems that power both the storage and retrieval of analytical data * Own the transformation layer that models data for fast, consistent metric queries * Define and maintain the metrics layer that supports dashboards, exports, APIs, and internal tools * Collaborate with product, infrastructure, and Assist teams to build rich reporting experiences-like helping customers measure ROI on AI adoption * Manage scalable pipelines that move and transform production data for analysis * Instrument observability into the data platform, including freshness, lineage, and correctness You may be a good fit if you: * Have experience working with modern data warehouses (e.g., Snowflake, BigQuery) and understand their performance characteristics * Have built or maintained end-to-end ELT pipelines and are comfortable choosing the right level of precomputation * Have designed or worked closely with a metrics or semantic layer, and understand how to define metrics that are consistent, queryable, and performant across reporting surfaces * Are comfortable reasoning about systems tradeoffs-latency, cost, developer velocity, and reliability * Take pride in building systems that are clear, maintainable, and empower others * Have strong SQL fluency and are comfortable reading query plans, debugging slow queries, and optimizing for performance Nice to have (but not required): * Experience with semantic layer tools like Cube, MetricFlow, or Looker's LookML * Familiarity with analytics-focused software engineering (e.g., event tracking, funnel analysis, experiment platforms) * Experience modernizing legacy data systems or planning large-scale migrations * Experience collaborating cross-functionally with AI/ML teams or product managers focused on AI systems Our U.S. benefits * Generous medical, dental, and vision benefits * Paid company holidays, sick time, and unlimited time off * Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting * Paid parental leave * Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices * 401(k) plan enrollment

Great customer support requires human agents and AI in perfect balance, and Assembled is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation - in-house agents, BPOs, and AI - in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $70M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work. The Role We're looking for a software engineer to join our Infrastructure team-building and operating the core systems that power our rapidly growing AI agent platform for customer support. Our AI Agents automates support workflows across email, chat, and voice, and has grown from $0 to $1M in ARR in just 3 months. As adoption accelerates, we're investing deeply in scaling its infrastructure to meet increasing demand and security expectations from enterprise customers. As part of the AI Infrastructure team, you'll be responsible for the systems that enable Assist to be fast, reliable, and secure. You'll work on foundational platform components that power real-time LLM usage at scale, while also exploring how AI can be leveraged internally to make our engineering team more productive. This team is highly cross-functional, working closely with the AI, security, and product engineering teams. This is a high-ownership role for someone who's excited by 0-to-1 building and shaping the infrastructure backbone of our AI products. Some projects owned by the Infrastructure team * Agent service reliability and scaling: We manage and scale the infrastructure that serves LLM-powered agents across chat, email, and voice. This includes selecting inference strategies, integrating with model providers (e.g. OpenAI, Anthropic), and dynamically routing traffic for performance and cost efficiency. * Prompt and embedding storage systems: Assist relies heavily on dynamically generated prompts and semantic search across support content. The team owns highly-available, fast-access storage and indexing layers optimized for real-time AI interactions. * Privacy and security: Enterprises expect strict guardrails around AI use. We're building systems like network-level intrusion detection (IDS/IPS), audit logging, and LLM usage policy enforcement to meet these expectations and unlock new sales channels. * Observability and usage analytics: We operate systems that surface key metrics-token usage, latency, cost per response, and quality signals-so the Assist team can continuously improve Assist's performance and accuracy. * AI-powered developer tools: We are beginning to explore and evangelize the use of AI to accelerate internal engineering workflows-through internal chat agents, pair programming tools, and intelligent automation for deployment, debugging, and on-call. Our goal is to empower engineers across the company to build faster and more confidently with AI. You may be a good fit if you: * Have 6+ years of engineering experience, with past ownership of high-scale, production-critical infrastructure * Have experience with distributed systems and container orchestration (especially Kubernetes) * Have worked with AI/ML platforms or are excited to build foundational infrastructure for LLM-based applications * Thrive in fast-paced environments with shifting requirements and ambiguous problem spaces * Are motivated by impact, enjoy deep technical challenges, and want to work cross-functionally across security, AI, and product * Have strong familiarity with one or more parts of our tech stack: * Cloud provider: AWS * Orchestration: Kubernetes + Karpenter * LLM integration: Experience with OpenAI, Anthropic, or open-source model serving (e.g., vLLM, HuggingFace TGI, Ray Serve) * Prompt & embedding infrastructure: Vector databases (e.g., Pinecone, Weaviate, PGVector), semantic search, prompt templating systems * Datastores: Postgres + PgBouncer, Snowflake, Redis * Languages: Go and Python * Monitoring & CI/CD: Datadog, Mezmo, CloudWatch, Buildkite, CircleCI Our U.S. benefits * Generous medical, dental, and vision benefits * Paid company holidays, sick time, and unlimited time off * Monthly credits to spend on each: professional development, general wellness, Assembled customers, and commuting * Paid parental leave * Hybrid work model with catered lunches everyday (M-F), snacks, and beverages in our SF & NY offices * 401(k) plan enrollment

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in-office company, driven by a shared commitment to excellence and velocity. Our values- customers are everything , relentless momentum , winner's mindset , and stronger together -shape how we work and grow as a team. About the Team The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon's growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions. Our mission is to deliver magical support experiences - AI agents working alongside human agents to help users resolve their issues. About the Role On the Agent Engineering team, you'll have complete ownership and autonomy in building and shipping best-in-class AI agents, from initial implementation through continuous iteration. You'll work directly with leaders across industries like finance, healthcare and hospitality, solving their users' needs with reliable and intuitive AI agents. Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users. In this role, you will Design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention Identify cross-customer trends that guide the evolution of Decagon's agent building platform and research efforts Experiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers Your background looks something like this Have 2+ years of industry experience in software engineering Proficiency with Python, Typescript and asynchronous programming A high degree of comfort digging into system failures within deep technology stacks using any tool necessary Even better Prior experience working with multi-modal models Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $185K - $275K + Offers Equity

Thomas Electronics, Inc. is an international manufacturer of precision electro-optical components supporting critical applications in aviation and military hardware. Our team values energy, collaboration, and innovation across diverse backgrounds and skill sets. We offer a dynamic work environment, growth opportunities, and a comprehensive benefits package, including: Paid holidays and PTO Medical, dental, and vision coverage 401(k) with company match 9/80 work schedule (every other Friday off) Position Summary We are seeking a Software Engineer to support our manufacturing operations by developing and maintaining software applications, improving process efficiency through data analysis, and driving automation initiatives. This position reports to the Senior Software Engineer and plays a key role in optimizing production systems and workflows. What You'll Do Develop and maintain software for manufacturing and data processing systems. Integrate systems to ensure seamless communication between equipment and databases. Analyze data to identify and implement process improvements. Troubleshoot and resolve issues with software, networks, and automation systems. Support automated manufacturing equipment and collaborate with cross-functional teams. What We're Looking For Bachelor's degree in Computer Science, Software Engineering, or a related field. Experience creating and maintaining SQL databases. Proficiency in programming languages such as C#, Python, or Java. Hands-on experience with automation tools, PLCs, and SCADA systems. Strong problem-solving skills, attention to detail, and ability to work collaboratively in a fast-paced environment. Why You'll Love Working Here You'll thrive in this role if you: Take initiative and act with a sense of urgency to solve problems. Enjoy collaborating across teams and tackling challenges head-on. Hold yourself to high standards of accuracy and precision. Want to be part of a forward-thinking, innovative company making a global impact. WORK ENVIRONMENT: This position will work primarily in both an office and manufacturing environment. Work environment may or may not be climate controlled and may be exposed to a variety of weather elements. PHYSICAL DEMANDS: While performing the duties of this job, the employee will be regularly required to sit, some standing; walking; use hands and fingers, reach with hands and arms; and talk or hear. The employee is occasionally required to stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 20 pounds. EEO / ADA: Thomas Electronics, Inc. is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. Thomas Electronics, Inc. will make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodation would impose an undue hardship on the operation of our business. If you are an applicant interested in applying for an employment opportunity, or an existing employee and feel you need a reasonable accommodation pursuant to the ADA, please contact Human Resources at ************************************.

Thomas Electronics, Inc. is an international manufacturer of precision electro-optical components supporting critical applications in aviation and military hardware. Our team values energy, collaboration, and innovation across diverse backgrounds and skill sets. We offer a dynamic work environment, growth opportunities, and a comprehensive benefits package, including: Paid holidays and PTO Medical, dental, and vision coverage 401(k) with company match 9/80 work schedule (every other Friday off) Position Summary We are seeking a Software Engineer to support our manufacturing operations by developing and maintaining software applications, improving process efficiency through data analysis, and driving automation initiatives. This position reports to the Senior Software Engineer and plays a key role in optimizing production systems and workflows. What You'll Do Develop and maintain software for manufacturing and data processing systems. Integrate systems to ensure seamless communication between equipment and databases. Analyze data to identify and implement process improvements. Troubleshoot and resolve issues with software, networks, and automation systems. Support automated manufacturing equipment and collaborate with cross-functional teams. What We're Looking For Bachelor's degree in Computer Science , Software Engineering , or a related field. Experience creating and maintaining SQL databases . Proficiency in programming languages such as C#, Python, or Java . Hands-on experience with automation tools , PLCs , and SCADA systems . Strong problem-solving skills, attention to detail, and ability to work collaboratively in a fast-paced environment. Why You'll Love Working Here You'll thrive in this role if you: Take initiative and act with a sense of urgency to solve problems. Enjoy collaborating across teams and tackling challenges head-on. Hold yourself to high standards of accuracy and precision. Want to be part of a forward-thinking, innovative company making a global impact. WORK ENVIRONMENT: This position will work primarily in both an office and manufacturing environment. Work environment may or may not be climate controlled and may be exposed to a variety of weather elements. PHYSICAL DEMANDS: While performing the duties of this job, the employee will be regularly required to sit, some standing; walking; use hands and fingers, reach with hands and arms; and talk or hear. The employee is occasionally required to stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 20 pounds. EEO / ADA: Thomas Electronics, Inc. is committed to equal opportunity for all, without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. Thomas Electronics, Inc. will make reasonable accommodations for known physical or mental limitations of otherwise qualified employees and applicants with disabilities unless the accommodation would impose an undue hardship on the operation of our business. If you are an applicant interested in applying for an employment opportunity, or an existing employee and feel you need a reasonable accommodation pursuant to the ADA, please contact Human Resources at ************************************.