Operations engineer jobs in San Francisco, CA

A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback. Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features. Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability. Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions. Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E). Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles. Experience at a high‑taste product company or at an AI/agent‑native startup. Undergraduate degree in Computer Science, Engineering, or a related field. What we're looking for Strong product sense and attention to user experience; you care about how things feel, not just how they work. High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively. Genuine excitement about the AI agent space and improving agent behavior for real users. Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

Crossing Hurdles is a global recruitment consultancy partnering with a fast-growing startup (YC W24) which is into orchestrating users' GitHub Action workflows on a fleet of bare-metal gaming CPUs, with build caches co-located next to CI jobs-all enabled by a single line of code. Raised a Series A funding, bringing total capital to $13.5M, and grew ARR from $1M to $3M in just 4 months, continuing to scale rapidly. Role - Product Engineer Location - 5 day/week in NYC/SF Required Tech Stack - React, TypeScript, Golang, Postgres, ClickHouse Compensation - $200k - $300k Benefits - Medical, Vision, and Dental insurance, Unlimited PTO, Quarterly offsite, 12 weeks fully paid parental leave (US) Requirements: 3 - 10 YoE as a great full stack engineer who is 50%-90% frontend leaning but can also work on the backend. Must be product-minded and have worked on customer-facing products Must be proficient in React / TypeScript Why Candidate Should Join: Orchestrates millions of virtual machines each month to run CI jobs efficiently across a proprietary fleet of bare-metal servers. Powers continuous integration for 600+ high-growth startups Founded by elite engineers

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

Staff AI Engineer | Sunnyvale, CA | $225K-$300K + Equity We're partnering with a leading company in the software defined vehicle space to hire a Staff AI Engineer. Their technology is already running in more than five million vehicles on the road today and they are now building the next layer of AI that will power future automotive platforms. In this role you will work on advanced language models, retrieval systems and agent style architectures that support real world, safety critical use cases. You will own the full lifecycle of AI systems from early research through to stable, production grade services. What you'll do: Train and fine tune LLMs for reasoning and decision making Build retrieval pipelines and RAG systems for real time semantic search Design and scale ML systems that run in fault tolerant, privacy compliant environments Develop evaluation frameworks to measure reliability, correctness and performance Work closely with engineering and product teams to shape AI solutions that match real world needs What we're looking for: 5+ years of experience as an AI or ML engineer Hands on experience with LLMs, agent frameworks and RAG architectures Strong Python and experience with PyTorch or TensorFlow Background in building and deploying production ML systems Comfort working in a collaborative on site environment three days per week in Sunnyvale If this sounds like something you would like to explore, apply today and we'll be in touch

80Twenty is a boutique marketing recruitment agency that connects high-growth companies with exceptional candidates. Want to build technology that truly moves the needle in healthcare? Join a fast-scaling, profitable healthcare services company - independently grown and not VC-backed - on a mission to make healthcare simpler, smarter, and more human! Our client is a healthcare tech and services company based in San Francisco, combining clinical expertise, operational excellence, and modern engineering to reshape how people experience care. From personalized medication management and transparent pharmacy pricing to community-based chronic care support, we're building a system that empowers both patients and providers. This is a fully onsite role based in San Francisco, CA. Candidates must be located within 30 miles of San Francisco. The standard schedule is Monday-Friday, 9am-7pm and may vary depending on business needs and role responsibilities. In this role, you will: Design, build, and scale backend services that power pharmacy, telehealth, and patient-facing workflows. Collaborate cross-functionally with product, operations, and pharmacy teams to deliver seamless integrations and reliable systems. Lead architectural design discussions and set long-term technical direction for the backend stack. Implement best practices for system reliability, observability, security, and scalability. Drive operational excellence through CI/CD pipelines, cloud infrastructure (AWS), and container orchestration (Kubernetes). Mentor fellow engineers and help shape our backend engineering culture. Optimize system performance and streamline complex data flows across distributed services. Influence and define standards for how we build, test, and deploy software across the company. Who You Are 7+ years of backend engineering experience, ideally in fast-moving production environments. Strong experience with Node.js (TypeScript / JavaScript) and modern backend frameworks. Deep familiarity with AWS, Kubernetes, CI/CD, and distributed system design. Adept at owning code from design through deployment - you care about maintainability, reliability, and long-term scalability. Excellent communicator who enjoys collaborating across disciplines. Motivated by solving complex real-world problems in healthcare and improving patient outcomes. Bonus points for experience in healthcare, pharmacy systems, inventory/fulfillment flows, or regulated environments. Why This Role Stands Out You'll own high-impact systems that directly affect patient and provider experiences. You'll shape backend architecture and engineering best practices in a growing company. You'll join a profitable, non-VC-backed organization focused on long-term sustainability. You'll work in-person with an ambitious, mission-driven team in downtown San Francisco. Competitive compensation, equity opportunities, and strong benefits designed to help you thrive. This is a great opportunity to be a key member of the engineering team, taking technical ownership of our pharmacy platform's core backend systems. Your work will directly power real-time healthcare operations and improve access to care. If you're excited to apply your engineering expertise to meaningful healthcare infrastructure - and want to join a company that values autonomy, sustainability, and impact - we want to hear from you! Base salary: $250k-300k DOE + generous equity and benefits

We are partnered with a Stealth AI Infra startup (backed by a Tier 1 AI Lab and advised by 2 of the world's most prominent ML thought-leaders), who are hiring a Staff Engineer (genuine progression to HoE / Chief Engineer). The business already have enterprise customer traction & are backed by Perplexity and the VC who led investments in Hashicorp & Rancher. They are advised by the ex-GM & MD of Microsoft Research. They have proprietary tech & are building next-gen enterprise multimodal search & analytics platform, combining graph-based retrieval, multimodal indexing and cutting-edge LLMs to deliver lightning-fast, context-aware search. They fuse graph theory with multimodal learning, and are cutting compute, data & CO₂ while boosting accuracy on real-world problems. The founding team blends deep technical and enterprise expertise - ex-FAANG engineers & scientists from Tier1 Labs, product operators, and PhDs from top global universities. Guided by advisors from Microsoft Research, Berkeley, and UPenn. Building AI that scales responsibly, from the physical world up and unlock the next frontier in AI with graph foundation models for unstructured data. Working at the frontier of enterprise AI Infra, building systems that power multimodal understanding for enterprise orgs. They are looking for a Principal (Founding) Engineer with progression to Head of Engineering & beyond. You will work directly with the founders to design systems that scale up inference for cutting-edge models, build efficient training loops, and operationalize self-hosted LLMs (Llama-70B, Mistral-8x22B, etc.) using GPU autoscaling and model-serving frameworks. Technical ownership and leadership trajectory from day one. Key Experience Required; 5+ Years' experience in ML / Software Engineering Hands-on experience serving large language (and non-language) models in production (GPU orchestration, inference optimization) Experience sharing an ML model across multiple GPUs A builder's mindset: you relish ambiguous requirements, pick the right tool, and ship Please apply ASAP if interested!

For over 16 years, Trilyon, Inc. has been a leader in global workforce solutions, specializing in Cloud Technology, AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top companies to deliver high-quality talent in engineering, IT, and emerging technologies. For additional information or to view all of our job opportunities, please visit our website: ************************************ We are seeking an AI/Gen AI Architect to join our team. This role will involve designing and building enterprise-grade AI/ML solutions. The ideal candidate will have experience in Large Language Models, Conversational AI, Agentic AI frameworks, observability tools, and a passion for developing next-generation intelligent systems. *********Note: Need Local Candidates Only.********** Job Title: AI/Generative AI Engineer Location: Sunnyvale, CA (Hybrid) Duration: 6 months (With high possibility of extension) Job Description The AI/Gen AI Engineer will be responsible for designing, implementing, and scaling advanced AI/ML solutions across enterprise systems. This includes building conversational AI capabilities, integrating intelligent agents, and ensuring optimal performance in distributed environments. Key Responsibilities & Expertise Lead the design and implementation of AI/ML models into enterprise platforms. Apply deep expertise in supervised/unsupervised learning, deep learning, anomaly detection, and large language models (LLMs) such as Gemini and GPT. Work extensively with Agentic AI frameworks such as LangChain, LangGraph, and CrewAI to build intelligent workflows and automation. Utilize Python and major AI/ML libraries-including Pandas, NumPy, TensorFlow, and related frameworks-for model development and deployment. Bring a minimum of 8 years of hands-on experience in designing, developing, and deploying conversational bots. Work with observability platforms including Prometheus, Splunk, Datadog, and Grafana to monitor and optimize the health and performance of AI workloads. Apply expertise in NLP, NLU, ML, and Conversational AI to create next-generation conversational experiences. Integrate bot systems with backend services, databases, and APIs to enable seamless data exchange. Work with modern web services and integration layers to ensure scalability and reliability. Diagnose complex issues across distributed systems with excellent analytical and debugging skills. Communicate effectively with cross-functional teams and stakeholders, presenting architectures, insights, and design recommendations. Operate as a self-starter capable of managing priorities and delivering high-quality work independently. The AI/Gen AI Engineer will drive innovation, architect scalable AI platforms, and elevate AI maturity across the organization, ensuring business-aligned and future-ready solutions. Why Join Us? Trilyon, Inc. offers a comprehensive benefits package. Opportunities for growth and professional development. Collaborative, innovative, and inclusive work culture. Equal Employment Opportunity (EEO) Statement Trilyon, Inc. is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable laws. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.

Mechanical Engineer (Robotics) We are partnering with a robotics company building complex electro-mechanical systems where mechanical design directly determines real-world performance. This role is for someone who doesn't just design parts, but owns motion, reliability, and scale. What You'll Do Own the end-to-end mechanical design of complex electro-mechanical systems with moving parts Design and prototype custom mechanisms and actuators under aggressive timelines Drive concepts from first prototype through high-volume production Personally design parts for volume manufacturing processes, including: Injection molding Die casting Stamping / sheet metal Extrusion Powder metal / MIM Partner closely with contract manufacturers (CMs) to ensure DFM, reliability, and cost targets are met Build systems that are not just elegant but robust, testable, and shippable at scale What We're Looking For Exceptionally strong mechanical intuition, you understand how things move, fail, and improve Proven ability to design and prototype quickly without sacrificing rigor Track record of shipping reliable, hardware products at scale Deep hands-on experience designing custom mechanisms, joints, transmissions, and actuators Experience owning mechanical architecture for complex systems with dynamic loads and tight tolerances Comfortable operating across ambiguity, tight timelines, and high expectations Required Background Currently working at a robotics company (hands-on mechanical role) Background in electro-mechanical systems with real moving parts (not CAD-only work) Experience taking designs from concept → prototype → volume production Ideal Signals Designed robotic arms, legs, mobile platforms, end-effectors, or actuation systems Personally responsible for motor selection, gearing, kinematics, or load paths Close collaboration with electrical and controls teams Bias for execution and ownership over documentation and theory

Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow's ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries. ******NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future*** Responsibilities: Deeply understand DIC, accelerometer, strain gauge and other sophisticated testing methods in order to train and assist technicians Design, develop, and implement test fixtures and setups to support REL tests Develop and document standard operating procedures (SOPs) for testing and equipment operation. Train new personnel on equipment operation Troubleshoot equipment issues Execute high-impact, high-priority REL Test requests Communicate progress, blockages, issues and progress in a timely manner Develop and document standard operating procedures (SOPs) for testing and equipment operation. Follow documentation for testing and equipment operation Set up and operate test equipment, including sensors, strain gauges, and accelerometers. Apply sensors and strain gauges to test specimens and ensure accurate data collection. Write and maintain accurate records of test results, including data analysis and interpretation. Collaborate with team members to troubleshoot issues and resolve problems, being sure to communicate to Lab Manager and Lab Engineer. Participate in continuous improvement initiatives to optimize test processes and equipment. Track time spent on activities, and report daily Required Skills: Lab Engineer with 4-5 years of experience in consumer electronic reliability testing Environmental chambers, used for heat soak and temperature cycling Controlled drop tower High Speed Video cameras, for example from Photron or Phantom brands Digital microscopes, such as Keyence brand Universal Testing Machines, such as machines from Instron brand, both single- and bi-axial UV Chamber, such as from Atlas Material Testing Preferred Skills: Shock towers, such as from Lansmont brand Electrodynamic vibration table Digital Image Correlation Collaborative Robot Arms, such as from Universal Robotic

Why Lamar Health What do we do: We take care of shitty paperwork for very expensive drugs. Type: Full-time Compensation: Competitive + mission-driven impact Team: Our CEO worked on the AI model for the COVID Pfizer vaccine. Our CTO built an AI model for optimizing claims thats used by most cancer clinics in the US today. We're a good fit for someone that needs to have this level of impact. About Lamar Health Lamar Health is building modern infrastructure for healthcare delivery - helping care teams, clinics, and patients connect seamlessly through intelligent software. Our mission is to bring speed, clarity, and coordination to a space that's too often fragmented and slow. We work with leading healthcare organizations to reimagine how technology supports care delivery - from data integration to patient experience. Every deployment matters because it directly affects how real people access care. About the Role As a Product Engineer at Lamar Health, you'll bridge the gap between our core platform and the real-world needs of our customers - health systems, clinics, and care teams. You'll work hand-in-hand with users to understand their workflows, design solutions that streamline operations, and ensure that our technology drives measurable impact in patient outcomes and care efficiency. You'll write production-quality code, collaborate with our product and engineering teams, and bring new ideas from the field into the heart of our roadmap. What You'll Do Work directly with healthcare customers to understand their clinical, operational, and data challenges. Design and implement integrations, data pipelines, and lightweight applications on top of Lamar's platform. Collaborate with sales and engineering teams to influence the roadmap based on real-world customer needs. Prototype rapidly, deploy confidently, and iterate based on feedback from users in the field. Translate technical complexity into clear, actionable insights for non-technical stakeholders. Who You Are You have 3-5 years of experience building and shipping software in production (Python, TypeScript, or similar). You're excited about the intersection of technology, healthcare, and product thinking. You love talking to users, uncovering pain points, and crafting pragmatic technical solutions. You're comfortable in ambiguity - prioritizing impact over perfection. You value empathy and communication as much as technical skill. You want to see your work directly improve healthcare delivery and patient experience. Bonus Points Projects you've worked on and can share. Prior experience in a customer-facing engineering, consulting, or startup role. Comfort working in regulated or privacy-sensitive environments (HIPAA, SOC2). Why You'll Love Working at Lamar Health Impact: Your work will touch real clinics, doctors, and patients - every deployment matters. Ownership: You'll shape how our platform is used in the field and help define our product direction. Growth: Work cross-functionally with engineers, clinicians, and product leaders solving complex, meaningful problems. Mission: Join a team genuinely driven to make healthcare more human, efficient, and connected. Team: People that move the ball with you to get shit done. About the Application Please submit a communication test (est time 5-10 min): Instead of a traditional cover letter and resume, we'd like you to complete a short task to show how you work: Step 1: Review the attached PDF policy for Evenity: ****************************************************** Step 2: Use an AI tool (ChatGPT, Claude, Gemini, etc.) to create: A simple checklist of all the approval requirements for the medication. A short description (1-2 paragraphs) explaining: How you used the AI tool. What prompts you wrote. Any challenges you encountered. Step 3: Send us your: Checklist (Google Doc, Word Doc, or PDF). LLM usage notes (can be included in the same document or separately). 👉 Submit your test and any brief intro about yourself to: careers at lamarhealth dot com Industry Hospitals and Health Care Employment Type Full-time

About Us Mintegral is a leading programmatic and interactive mobile advertising platform, starting from the APAC region and radiating out globally. Powered by advanced AI technology, we provide global advertisers and developers with innovative, comprehensive experiences. With our efficient mobile marketing and monetization solutions, we help our clients exceed their marketing goals. As a self-developed programmatic platform, since Launched in 2015, Mintegral has quickly grown to become one of the largest mobile advertising platform in Asia. We offer a full stack of programmatic products and services including our Self-service Platform, DSP, SSP, Ad Exchange and DMP. We have also created the Mindworks Creative Studio, which offers publishers and brands cutting-edge creative solutions, from traditional creative right through to the latest interactive ad formats. For more information, please visit our website: ***************************** About the Role We are looking for a highly motivated Machine Learning Engineer to help advance the intelligence of our advertising platform. You will work across the full lifecycle of ML development-from framing ambiguous problems to deploying large-scale production models that directly impact advertiser ROI and user experience. Responsibilities Own the end-to-end algorithm development lifecycle, including problem formulation, solution design, experimental validation, and online deployment. Leverage data analysis and algorithmic innovation to optimize model inference performance, enhance monitoring systems, and continuously improve both monetization efficiency and user experience within the advertising platform. Identify potential issues and optimization opportunities across the ad delivery system. Actively participate in technical discussions, stay proactive in learning, and apply new technologies to solve real-world problems. Track cutting-edge research in machine learning and incorporate advanced techniques into practical adtech applications. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Mathematics, Physics, or a closely related technical field; strong academic background preferred. Excellent problem-solving skills, with the ability to abstract complex problems, build models, and analyze large datasets. Strong engineering fundamentals and production-quality coding skills (Python, C++, or related languages). Self-driven, resilient, and able to navigate challenging problems with a proactive mindset. Hands-on experience with optimizing ad systems end-to-end, and understanding system behavior through data loops and feedback cycles. Practical experience with feature engineering, model architecture design, and sample distribution analysis; background in generative recommendation or LLM-based approaches is a plus. Experience in RTB and ads strategies, such as cold-start optimization, budget pacing, calibration, or bidding strategies, is strongly preferred.

Job Title: NPI Mechanical Engineer Job Type: Full-time Work Schedule: Onsite Salary: $88000 - 120000/Yearly The Mechanical Engineer (Level 2) works with local manufacturing teams and Taiwan-based design teams to resolve mechanical issues in a timely manner and ensure smooth product development and production support. This role supports new product introduction (NPI), fixture and component design, and continuous improvements in manufacturability and assembly. This position is part of the Engineering Services team, which works across departments to support the engineering and operation teams with technical expertise in electronics, operational software, and systems integration. Responsibilities: Collaborate with cross-functional teams including R&D, manufacturing, and customer support. Analyze and resolve mechanical engineering issues, coordinating with design teams to determine root causes. Manage and guide the transition of NPI products into production, ensuring manufacturability and assembly readiness. Design and validate testing fixtures, jigs, and mechanical components to support new projects and production needs. Provide design-for-manufacturability (DFM) and design-for-assembly (DFA) feedback to improve product quality and efficiency. Review mechanical drawings and specifications for accuracy, tolerance, and compliance with company standards. Perform mechanical stress, fit, and tolerance analyses to ensure reliability and performance. Conduct failure analysis and propose corrective actions for mechanical and structural issues. Support tooling, sheet metal, and plastic component design, fabrication, and inspection. Document and update SOPs (Standard Operating Procedures), work instructions, and test plans. Support factory teams in the U.S. by bridging communication between Taiwan design teams and local production teams. Participate in cost reduction and process improvement initiatives related to mechanical design and manufacturing. Qualifications: Knowledge and experience with server, storage, and/or PC products. Familiarity with creating server assembly standard operating procedures (SOPs) for production lines. Skill in using measuring tools such as calipers and altimeters. Ability to interpret engineering drawings, including dimensional tolerances and GD&T (Geometric Dimensioning & Tolerancing). Understanding sheet metal product production and inspection; familiarity with NCT and hard tooling manufacturing is desirable. Understanding of plastic part production and inspection; familiarity with mold-up and hard tooling processes is desirable. Strong analytical problem-solving and communication skills. Proficiency in CAD tools (e.g., Creo/Pro-E) preferred. Bachelor's or Master's degree in Mechanical Engineering or equivalent. Minimum of 3 years of professional mechanical engineering experience. Ability to walk and stand on cement floors for extended periods. Ability to stoop, bend, and perform repetitive tasks. Prolonged periods of sitting and computer work. Ability to lift up to 30 pounds. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Pramod Kumar (******************** / *************** for more details.

Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Facilities Management, or a related field. 6+ years of experience in facilities engineering or a similar role. Experience building systems, including HVAC, electrical, plumbing, and fire suppression. Must be hands-on, ability to support repairs, maintenance projects (mechanical, electrical, plumbing…etc.) Build automation systems (BAS) and computerized maintenance management systems (CMMS). Familiarity with AutoCAD or similar design software is a plus.

Job Title: IAM Identity Engineer Pay Rate - $60 to $63hr w2. The Cloud Platform Engineering (CPE) team is responsible for the stability, reliability, release and deployment of TCGplayer.com technology. The team's primary function is to increase the efficiency of the organization through well-designed automation and infrastructure. Our team prides itself on a culture that fosters camaraderie, embraces diversity, and exudes passion! We are one of New York State's 50 best employers and Fortune.com's top 100 companies for women in the U.S. We are looking for an experienced Cloud Platform Engineer to analyze, integrate, and complete migration of TCGplayer services into environment. The ideal candidate will be responsible for identifying dependencies, solving open-ended challenges, and communicating effectively across teams. Experience within an AWS cloud environment is essential for this role. If you are a seasoned technologist seeking a challenging and rewarding opportunity in a fun and exciting industry, TCGplayer is the perfect place for you! What you will bring: Experience integrating complex public cloud and third-party SaaS solutions. Prior work with single sign-on and multi-factor authentication, with a focus on migrating between IDPs. Knowledge of cloud services (e.g., AWS, GCP, Azure) and infrastructure as code (e.g., Terraform, CloudFormation). Agile methodology including using tools/practices such as Jira, roadmapping, managing sprints and backlogs, and tracking resource usage. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical DevOps experience with at least 5+ years working with AWS. Strong scripting / coding skills in one or more programming / scripting languages (e.g., Python, Powershell,Go, C#, JavaScript). Strong communication and collaboration skills to work effectively with cross-functional teams. A passion for building systems that truly meet the needs of multiple types of technical and non-technical users.

A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback. Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features. Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability. Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions. Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E). Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles. Experience at a high‑taste product company or at an AI/agent‑native startup. Undergraduate degree in Computer Science, Engineering, or a related field. What we're looking for Strong product sense and attention to user experience; you care about how things feel, not just how they work. High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively. Genuine excitement about the AI agent space and improving agent behavior for real users. Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

Mechanical Engineer (Robotics) We are partnering with a robotics company building complex electro-mechanical systems where mechanical design directly determines real-world performance. This role is for someone who doesn't just design parts, but owns motion, reliability, and scale. What You'll Do Own the end-to-end mechanical design of complex electro-mechanical systems with moving parts Design and prototype custom mechanisms and actuators under aggressive timelines Drive concepts from first prototype through high-volume production Personally design parts for volume manufacturing processes, including: Injection molding Die casting Stamping / sheet metal Extrusion Powder metal / MIM Partner closely with contract manufacturers (CMs) to ensure DFM, reliability, and cost targets are met Build systems that are not just elegant but robust, testable, and shippable at scale What We're Looking For Exceptionally strong mechanical intuition, you understand how things move, fail, and improve Proven ability to design and prototype quickly without sacrificing rigor Track record of shipping reliable, hardware products at scale Deep hands-on experience designing custom mechanisms, joints, transmissions, and actuators Experience owning mechanical architecture for complex systems with dynamic loads and tight tolerances Comfortable operating across ambiguity, tight timelines, and high expectations Required Background Currently working at a robotics company (hands-on mechanical role) Background in electro-mechanical systems with real moving parts (not CAD-only work) Experience taking designs from concept → prototype → volume production Ideal Signals Designed robotic arms, legs, mobile platforms, end-effectors, or actuation systems Personally responsible for motor selection, gearing, kinematics, or load paths Close collaboration with electrical and controls teams Bias for execution and ownership over documentation and theory

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.

A Product Engineer in this role will focus on building and scaling a high-quality AI agent product with strong UX, full‑stack development, and close user collaboration, and should bring 2+ years of startup experience, strong TypeScript skills, and a deep interest in the AI agent space while helping build “high-taste” products for self-learning AI agents and playing a key role in scaling the product to meet growing customer demand while maintaining an exceptional user experience in a rapidly evolving AI agent ecosystem. Responsibilities Collaborate closely with a product designer to ship new features and refine existing user flows based on customer feedback. Engage directly with customers to understand needs, gather feedback, validate ideas, and pitch new features. Develop core product features across the stack (front-end, back-end, and database work) with a focus on quality and reliability. Experiment with new features and technologies, build quick demos for the team, and productionize promising solutions. Contribute to product and design reviews, ensuring the experience is intuitive, polished, and delightful to use. Requirements 2+ years of experience in product, full‑stack, or front‑end engineering at technology startups (Seed to Series E). Proficiency in TypeScript, with experience either across the stack or in front‑end‑leaning roles. Experience at a high‑taste product company or at an AI/agent‑native startup. Undergraduate degree in Computer Science, Engineering, or a related field. What we're looking for Strong product sense and attention to user experience; you care about how things feel, not just how they work. High agency and ownership mindset-you proactively find problems, propose solutions, and ship iteratively. Genuine excitement about the AI agent space and improving agent behavior for real users. Comfort working in a fast-moving, experimental environment with tight feedback loops from users and teammates.

About You: You have several years of experience with full-stack web development. Our application is built with Next.js/TypeScript/Tailwind on the frontend, Python/FastAPI/Postgres/Redis on the backend. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You can talk directly with customers, analyze usage data, and iterate based on feedback. You can make sound product decisions on your own. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot! About Us: Indent is building the platform that every software engineer begins and ends their day in. Our customers are large engineering teams who use Indent for everything from incident response to code review to data analysis. Indent is built to handle these tasks in the real world (think analyzing a 30,000 table warehouse, not vibe querying a tiny Postgres instance) with minimal setup. We are a small, engineering-focused team. We come from a background of systems and infrastructure engineering, working on things like the Swift Compiler, distributed data orchestration software, and scaled video conferencing systems. We think that rigor is an advantage in this get-rich-quick market. We are taking an ambitious approach to a massive market. At Indent, one engineer can own a product like the Incident Response Agent that outperforms entire companies solving the same problem.