Software engineering internship jobs in Santa Clara, CA

The Fountain Group is a national staffing firm and we are currently seeking a Test & Development Engineer (Mobile Applications) for a prominent client of ours. This position is in Alameda, CA (Preferred), Milpitas, CA or Portland, OR Details for the position are as follows: Pay: $51-55/hour Locations: Alameda, CA (preferred) | Milpitas, CA | Portland, OR Work Model: First 30 days onsite, then potential hybrid Industry: Medical Device / SaMD (preferred, not required) 🚨 IMPORTANT: Developer-First Role This is not a traditional QA or manual testing role. We are seeking a software developer who specializes in test automation - someone who writes code daily, builds automation frameworks, and enjoys solving problems through development. Candidates who primarily execute existing test scripts or rely on frameworks built by others will not be a fit. About the Role You will play a key role in designing, building, and maintaining automated test solutions for mobile Software as a Medical Device (SaMD) application. This role requires strong hands-on coding ability, comfort being evaluated through a live coding exercise, and experience working across Android and iOS platforms. Automation engineers on this team are expected to author automation, not just run it. What You'll Do Design, write, and maintain automated test scripts for mobile applications (primary responsibility) Develop and enhance automation frameworks (Python-based; migrated from Java) Perform automated and targeted manual testing for Android and iOS applications Execute automated API testing Test on real mobile devices, emulators, and cloud device farms Collaborate closely with Development, Test, Product, and Delivery teams Track work and defects in Jira Contribute to test strategy, maintainability, and continuous improvement Performance is measured on the creation, maintenance, and execution of automation scripts. Required Qualifications 5+ years of hands-on mobile application testing experience Strong software development skills - you write code daily Experience authoring automation scripts from scratch Proficiency in Python (preferred) or strong coding ability in another language with willingness to work in Python Experience with Appium Hands-on testing experience with Android and iOS Automated API testing experience Experience testing on real devices Comfortable completing a live coding challenge during the interview process (no AI use) Nice to Have (Preferred) Java experience Experience in Medical Devices, SaMD, or other highly regulated industries BrowserStack or AWS Device Farm experience IBM ETM (training available) Open-source contributions related to automation or testing tools Who Will Be Successful in This Role Developers who moved into test automation Automation engineers who love to code Candidates who can clearly explain what code they wrote, not just what they executed Engineers comfortable being evaluated on real technical skills

Who We Are At City Storage Systems (CSS), we are dedicated to building Infrastructure for Better Food. Our mission is to empower restaurateurs worldwide to thrive in the online food delivery market. By making food more affordable, of higher quality, and convenient, we're transforming the industry for everyone, from budding entrepreneurs opening their first restaurant to global quick-service chains. What You'll Do As a backend-focused Software Engineer at CSS, you'll play a crucial role in our data-driven development team, helping to advance our state-of-the-art menu platform. Your responsibilities will include: Data-Driven Development: Contribute to our data-centric development efforts. Project Planning: Participate in strategic planning for various internal tools. Agile Methodologies: Implement and test software using agile methodologies. Collaborative Teamwork: Work closely with a team to enhance and support our technology. Code Contribution: Write, debug, maintain, and test code across multiple projects. Architectural Design: Design scalable systems with a focus on robust architecture. Continuous Improvement: Engage in continuous improvement initiatives. Innovation: Drive innovation within the team and support technological advancements at CSS. What the Team Focuses On Our menu platform (check our tech blog) offers comprehensive menu management features designed to streamline restaurant operations, enhance customer experiences, and optimize performance. It serves as a single source of truth for menus, seamlessly integrating with online channels such as DoorDash, UberEats, and Grubhub and offline point-of-sale (POS) systems like Square, Toast, and NCR. Key capabilities include updating menus with new items, pricing, and taxes, performing A/B testing on different structures, setting availability by channel, creating combos and promotions, managing ingredients and SKUs, and configuring operational hours. Additionally, our platform features automated linking to ensure POS and online menus are always synchronized, minimizing discrepancies. Boasting a 99.9% availability rate, our platform supports a vast network of brands in the US and worldwide, ensuring uninterrupted service. Over 100,000 restaurateurs use our platform daily to streamline their operations and consistently express high satisfaction. What We're Looking For Education: Bachelor's Degree in Computer Science or equivalent. Experience: 7-10 years of experience in a relevant role. Individual Contribution: Proven track record of significant contributions in previous roles, demonstrating your impact. Architectural Skills: Ability to design and create robust architecture from scratch and evolve existing systems. Communication Skills: Strong communication and presentation skills, with the ability to collaborate with non-engineering stakeholders. Technical Expertise: Experience designing and implementing scalable, reliable, and efficient distributed systems. Familiarity with Java / Go / Kotlin is required. Concurrency: Experience building systems that can execute multiple tasks while managing overlapping run-time and space complexities simultaneously. Application Maintenance: Experience in maintaining and extending large-scale, high-traffic applications. Why Join Us Growing Market: You'll be part of an $80 billion market projected to reach at least $500 billion by 2030 in the US alone. Industry Impact: Join a team that is transforming the restaurant industry and helping restaurants succeed in online food delivery. Collaborative Environment: Benefit from the support and guidance of experienced colleagues and managers, who will help you learn, grow, and achieve your goals. Work closely with other teams to ensure our customers' success. Additional Information This role is based in our Mountain View office. We look forward to sharing more about a meaningful career at CSS!

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

Location: San Jose (full time onsite) Engagement: Contract (1099 or W2) Duration: 6-12 months FTE conversion thereafter. Hourly rate: The focus is on finding the right person, therefore open to market rate. Overview In this senior leadership capacity, you will spearhead the engineering of sophisticated flight emulation platforms designed for rigorous system certification and pilot-interaction studies. You will be responsible for modernizing deployment workflows through automated integration cycles and partnering with multidisciplinary teams to synchronize physical components within synchronized, real-time testing frameworks. By overseeing the full lifecycle of virtualized environments-ranging from component-level benches to full-scale "Iron Bird" rigs-you will ensure simulation accuracy by reconciling digital outputs with empirical data from live flight operations. Beyond the technical architecture, you will define the UI strategy for simulation control, manage the resolution of intricate distributed system anomalies, and cultivate a culture of elite technical mentorship and strategic project execution. Requirements: 10+ years of experience in simulation software development and systems integration. Bachelor's or higher degree in Aerospace, Software, Electrical Engineering, Computer Science, or a related field. Seasoned technical lead for an engineering team; providing guidance in planning and execution. Advanced proficiency in C/C++ and Python. Expert in MATLAB/Simulink and Python. Extensive experience developing real-time HIL test infrastructures. Proven ability to develop simulation tools with a focus on usability, modularity, and performance. Expert of communication standards and protocols (RS-422/485, CAN/CAN-FD, ARINC-429, Ethernet, TCP/IP, USB etc…) Experience prototyping Graphical User Interfaces based on user feedback. Knowledgeable with software engineering practices including CI/CD (GitHub Actions, Jenkins), test-driven development, and agile methodologies. Strong problem-solving and debugging skills with a proactive, solutions-oriented mindset. Comfortable working in cross-disciplinary teams and mentoring junior engineers. Preferred Qualifications Experience with aerospace, spacecraft, or robotics systems-including modeling of flight dynamics, sensor-actuator loops, or avionics. Proficiency in the NI software suite (LabVIEW, VeriStand). Experience developing and troubleshooting custom code (i.e. plugins, logical devices, custom devices) for real-time OS Background in simulation infrastructure for VTOL, rotorcraft, or autonomous vehicles. Understanding of control theory, GNC algorithms, and physics-based modeling. Hands-on experience with HIL/SIL test rigs, hardware communication protocols, and test instrumentation. Exposure to regulatory frameworks (FAA, DoD, NASA) and test certification environments. Startup or fast-paced development experience is a plus. Experience automating and executing test plans. Familiarity with fault injection methodologies. Familiarity with lab

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco. About the Role We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents). To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It's a high-impact position combining hands-on engineering, experimentation, and strategic input. You'll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities. Key Responsibilities Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces. Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case. Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance. Own the full agent pipeline-from model architecture and policy design to simulation frameworks and testing environments. Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance. Partner with technical leadership to shape product direction and research priorities. Mentor and support other engineers, helping to grow a strong, mission-driven technical team. Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories. What You'll Bring Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Hands-on experience fine-tuning LLMs. Deep applied knowledge of reinforcement learning techniques. Experience building agents for real-world applications (bonus: browser-based or robotics experience). Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone. A sense of ownership and drive to build impactful systems beyond titles or hierarchy. Experience mentoring, managing, or growing technical teams. Preferred Qualifications Record of impactful research publications or open-source contributions. Experience in high-growth, fast-paced start-up environments.

The Staff Security Software Engineer will be an integral part of building a scalable IAM program for this established crypto company. In this role, you will design and implement scalable security platforms, frameworks, and services across the organization, establishing technical standards and best practices for cloud security and infrastructure as code. Qualifications 7+ years of IAM security expertise 5+ years writing production-level Python and/or Golang Experience with container orchestration technologies like Kubernetes and EKS You dream in Terraform - provider development, complex module design, and enterprise-scale implementations huge plus if you've secured AWS environments at scale Logistics Hybrid: 2 days/week onsite in either San Francisco or NYC. $180K to $250K base salary + bonus & Equity incentives No sponsorship available

Job Title: Computer Vision Engineer V - Imaging Simulation Engineer Duration: 12 Months (Extension Possible) Rate: $127/hr, W2 Benefits: Medical, Dental, Vision and Weekly Pay Role Summary Client Reality Labs is a leader in designing virtual and augmented reality systems. This role supports the Cameras Architecture Team as an Imaging Simulation Engineer, responsible for developing, validating, and executing end-to-end camera system simulations-including optics, sensors, algorithms, and software pipelines-to impact future camera architectures. The position collaborates with researchers, imaging scientists, algorithm engineers, optics teams, and camera architects to enable high-fidelity simulations and accelerate camera technology development for next-generation AR/VR products. Key Responsibilities Develop, validate, and execute state-of-the-art imaging simulation software tools to support Client camera hardware exploration, ML dataset generation, and product architecture studies. Investigate simulation methods such as ISET, ZEMAX, and non-sequential ray tracing to model realistic camera behavior. Experiment and data collection to validate simulator accuracy and to improve simulator modeling capability and efficiency Build and bring up lab setups for image data acquisition of camera prototypes to support camera design studies. Operate, calibrate, and perform routine maintenance of lab equipment. Develop and document camera test methodologies to support 2D/3D camera system performance analysis. Develop and debug test scripts for image data collection automation Processing, analysis and organizing measurement data; presentation of initial analysis Drive supplier interaction and management to deliver camera prototypes in support of concept demonstrations Qualifications:(10+ Years) Minimum Qualifications: Advanced degree (M.S.) or equivalent acquired experience in a discipline such as Imaging Science, Image Processing, Computer Vision, or related fields Knowledge of image formation process (spectrum, optics/aberrations, PSF, sensor noise, Fourier theory, sampling/aliasing) needed to successfully model and simulate complex imaging phenomena Experience and knowledge in developing and tuning Image Signal Processing (ISP) algorithms and pipeline. Experience coding in languages such as MATLAB, Python, C/C++, preferably CUDA, design code for efficiency, and target different platforms such as GPU, Cloud, and other Experiences in image quality testing of camera systems and familiar with image quality metrics and analysis • Hands on experience in the development of lab setups for camera system performance study Experiences in camera calibration and modeling of imaging systems Familiar with image sensor, imaging optics, and image processing algorithms Ability to work with minimal direction and managing a project independently from start to finish Must Have Skills: Understanding of image formation, capturing, and processing pipeline and techniques Python/Matlab programming, shell scripting skills Understanding of subjective and objective image quality evaluation metric and testing procedure Nice-to-Have Skills Hands-on experience developing lab setups for camera system studies. Experience with camera calibration and modeling. Experience at top-tier imaging companies. Degrees / Certifications Required: Bachelor's degree required. Master's or PhD preferred. Interview Process Minimum 2 rounds: Initial hiring manager screen Technical interview with the engineering team Topics: imaging simulation, ISP pipelines, image formation, camera modeling, past project deep dives. Timing: Manager screen: 30 minutes Technical interview: 1 hour Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some job duties such as adhering to company policies, exercising sound judgment, managing stress, working respectfully with others, meeting client expectations, and safeguarding business operations and reputation. #TMN

Job Title: Staff Software Engineer Job Type: Perm Salary: Very Competitive based on exp. The Company: Series C AI technology company building backend systems that enable clinical and operational tools used by healthcare organizations. The team combines engineering and research expertise to build safe, reliable AI services for use in regulated data environments. The company is focused on practical, production-grade systems rather than research prototypes. Role and Responsibilities: Design and build scalable backend infrastructure to support AI applications used in healthcare environments. Collaborate with ML engineers and scientists to develop high-throughput data pipelines and microservices. Develop APIs and distributed systems that enable secure data retrieval, processing, and model integration. Ensure patient data protection through strong privacy and security measures across systems. Monitor, optimize, and maintain backend performance to meet enterprise reliability standards. Partner with product managers and healthcare teams to translate clinical needs into technical solutions. Mentor junior engineers, fostering technical growth and best practices within the engineering team. Job Requirements: Must Have: 7+ years of experience in backend engineering (Python, Go, or Java). Proven experience building distributed systems (databases, pub/sub, Kafka, Redis). Expertise in cloud platforms (GCP or Azure preferred; AWS acceptable). Proficiency with Docker, Kubernetes, CI/CD, and cloud networking. Strong understanding of SaaS architecture, data modeling, and security/privacy frameworks. Excellent communication and collaboration skills. Ability to work LATAM-based hours aligned with PST. Nice to Have: Familiarity with LLM frameworks (e.g., LangChain) or vector databases for AI/ML workloads. Experience in healthcare or regulated environments (HIPAA familiarity is a plus). Interest in mentorship and architectural decision-making at scale. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify's mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Introduction: We're working with an early-stage, small team building real production software and looking for a Full-Stack Engineer to join at a point where ownership and impact are real. This is ideal for someone who wants to be close to the product and have a meaningful voice in how things are built. Hybrid in San Francisco or NYC preferred, but remote candidates may be considered based on qualifications. What You'll Do: • Own full-stack features end-to-end, from backend services to user-facing functionality • Build and maintain systems using TypeScript / Node.js, AWS, and Python (preferred) • Collaborate closely with a small, senior engineering team and founders • Help shape technical decisions as the product and team scale • Ship production code that's used by real customers Does this sound like you? • You have full-stack engineering experience and enjoy owning your work • You're comfortable working in TypeScript / Node.js and AWS • You have experience with or interest in Python • You're curious about AI, actively use modern AI tools in your day-to-day coding workflow, or have experience building AI native applications • You enjoy early-stage environments with high ownership and fast feedback loops Can't wait to hear more about this position? Click Apply below and reach out to ******************* and they will be more than happy to share more details. Foundr.xyz is extremely committed to working with equal opportunity employers helping build diverse and inclusive workforce's. We put the people we work with at the heart of everything we do and dedicate all we do to playing a part in developing an industry that represents a variety of backgrounds, perspectives, and skills.

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

Our client is a VC-funded SaaS startup located in San Francisco, CA building AI-powered data analytics and documentation soluitions for the biotech and pharmaceutical industries. They are currently looking for a Senior AI Software Engineering Manager / Team Lead to work on-site in their office 3 days / week. Qualified candidates will have experience working as an AI Engineering Team Lead / Manager w/ 7-10+ years of experience working with Python (Django) to build data structures and implement LLM components and automation / testing / training leveraging LLM-in -the loop (LLM-ITL) or Human-in-the-loop (HITL). Hands on ~75%, management of a team of 3 ~25%. Responsibilities include building AI architecture, roadmapping / planning, etc. Industry experience in B2B SaaS, workplace tools or document management is desired. BSCS or equivalent. Must have startup experience. Experience working in a highly regulated domain involving data privacy and security is preferred. This role is hybrid on-site, in the office 3 days / week in San Francisco, CA. The role features competitive compensation, comprehensive company-paid healthcare benefits, 401k with company matching and potential performance bonus. Please send your resume to ******************* for immediate consideration.

Compensation: Up to $135K base salary My client is a Series C renewable-energy automation unicorn, founded in 2019 and backed by more than $200M in funding. They are building intelligent systems that transform how large-scale renewable energy projects are designed and delivered. They're hiring a Software Engineer - Intelligent Systems to develop AI-powered tools using Azure OpenAI, AWS Bedrock, and AgentCore to automate complex engineering workflows. This role is ideal for a recent M.S. or Ph.D. graduate passionate about AI, automation, and multi-cloud technologies. What You'll Do Build AI-driven automation workflows and reasoning chains Develop LLM-based agents with Azure OpenAI and AWS Bedrock Work on retrieval systems and Document AI integrations Deploy and optimize agents across Azure, AWS, edge, and on-prem environments Translate engineering workflows into intelligent systems Test, validate, and document system behavior What We're Looking For Bachelor's or Master's in CS, AI, Computational Linguistics, or related field (M.S./Ph.D. preferred) Experience with AI/ML, NLP, or intelligent systems Strong Python programming skills Familiarity with frameworks like LangChain or LangGraph Exposure to Azure OpenAI, AWS Bedrock, and AgentCore Understanding of REST APIs, asynchronous programming, and data integration

Hi, Want to Connect regarding a urgent position please review below description and let me know if you are interested. Job Title: Senior Cloud Software Engineer (Threat Prevention & AppID) Duration: 7+ Months Xoriant reasonably expects the pay rate for this position to be within the following range: $50/hr-52/hr. Job Description: Duties: Your Career We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for talent engineers who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal. Your Impact: Participate in the design and implementation of threat prevention & AppID cloud services for public cloud and private cloud features Participate in all phases of the product development cycle, from definition, design, through implementation and test Provide real-time security services to customers Work with PLM on new feature requirement Work with QA and DevOps on new release deployment Work with support to handle customer issues Work with security researchers and data scientist on a new feature request Additional Information: The Team We are the Threat Prevention & AppID Infrastructure team. Our engineering team is at the core of our products deliver the best of security services on the cloud to prevent cyberattacks. We are constantly innovating challenging the way we, and the industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Skills: Qualifications Your Experience: BS/MS in Computer Science or Computer Engineering Solid programming skills in GoLang, Python or Java Solid knowledge and skills on Linux Solid skills with Kubernetes and Docker Rich Google Cloud Platform experience is a plus Solid knowledge of web servers/proxies such as NGINX, envoy 3 years of working experience on data infrastructure platforms Strong micro-service development experience Rich Experience with SQL and No-SQL DB technologies such as MySQL, Redis Hands-on experience with the queuing system such as RabbitMQ, Kafka, experience with Pub/Sub is a plus Solid skills in multi-threads and multi-processes programming and experience in a distributed system are preferred DevOps experience a plus Teamwork, problem-solving and a can-do attitude Education: Bachelor s Degree in Computer Science or related field (or equivalent) Regards, Akangsha Mohite Team Lead W: ************** E: *************************** Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

🚀 Backend Engineer - High-Growth AI SaaS Startup 📍 SoMa, San Francisco, CA | 💼 Full-Time | Onsite 💰 Salary: $200K-$325K + Meaningful Equity (1%+) Join an early-stage AI SaaS start-up creating an AI application builder that empowers business users to build custom applications where humans and AI collaborate seamlessly across enterprise systems. The company addresses complex enterprise challenges, including multi-day workflows, cross-system integrations (ERP/CRM/financial platforms), secure VPC hosting, and enterprise-grade observability, logging, identity, and compliance controls. About the Role We're looking for a Backend Engineer to lead the development of backend systems and architecture. This is a rare opportunity to take ownership of core systems in an early-stage company, shaping architecture, scalability, and reliability from the ground up. You'll tackle challenging problems like orchestrating multi-system workflows, processing large-scale data asynchronously, and safely executing AI-generated code - all while collaborating closely with the applied AI team. What You'll Do Design and build the core workflow engine - the orchestration layer connecting agents, data sources, and frontend views. Develop and scale the TypeScript-based backend, handling asynchronous execution, retries, and deterministic routines. Build and maintain integration layers for REST APIs, SQL sources, and third-party systems. Collaborate with the applied AI engineering team to integrate automation and intelligence across systems. Define and enforce best practices for backend architecture, reliability, and developer experience as the company scales. Who You Are (Must-Haves) 4-15 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend architectures. Experience designing complex data models and managing asynchronous tasks/workflows. Prior experience working in early-stage startups or high-growth environments. Experience integrating multiple systems, including REST APIs and SQL sources. Excited by building scalable systems and comfortable in a startup environment. Excellent problem-solving, collaboration, and communication skills. Nice-to-Haves Experience building or integrating AI / LLM-powered applications. Familiarity with Temporal or similar orchestration/workflow systems. Exposure to other modern backend frameworks or cloud technologies (AWS, GCP, Kubernetes). Why Join? Competitive salary: $200K-$325K + meaningful equity (1%+) in an early-stage company. Work alongside experienced founders who have successfully scaled AI and enterprise SaaS products. Shape the architecture and direction of a high-impact backend system used across complex workflows. Be part of a small, highly motivated team at the forefront of AI and enterprise applications.

The Staff Security Software Engineer will be an integral part of building a scalable IAM program for this established crypto company. In this role, you will design and implement scalable security platforms, frameworks, and services across the organization, establishing technical standards and best practices for cloud security and infrastructure as code. Qualifications 7+ years of IAM security expertise 5+ years writing production-level Python and/or Golang Experience with container orchestration technologies like Kubernetes and EKS You dream in Terraform - provider development, complex module design, and enterprise-scale implementations huge plus if you've secured AWS environments at scale Logistics Hybrid: 2 days/week onsite in either San Francisco or NYC. $180K to $250K base salary + bonus & Equity incentives No sponsorship available

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco. About the Role We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents). To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It's a high-impact position combining hands-on engineering, experimentation, and strategic input. You'll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities. Key Responsibilities Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces. Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case. Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance. Own the full agent pipeline-from model architecture and policy design to simulation frameworks and testing environments. Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance. Partner with technical leadership to shape product direction and research priorities. Mentor and support other engineers, helping to grow a strong, mission-driven technical team. Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories. What You'll Bring Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Hands-on experience fine-tuning LLMs. Deep applied knowledge of reinforcement learning techniques. Experience building agents for real-world applications (bonus: browser-based or robotics experience). Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone. A sense of ownership and drive to build impactful systems beyond titles or hierarchy. Experience mentoring, managing, or growing technical teams. Preferred Qualifications Record of impactful research publications or open-source contributions. Experience in high-growth, fast-paced start-up environments.

We're partnered with an early-stage startup led by true AI pioneers who are looking for a Staff Software Engineer to help build the backend systems that power a new generation of AI-driven products. They are a small, ambitious company founded by ex-DeepMind leaders who've already built and shipped generative AI products used by billions of people. They've seen what it takes to get research out of a lab and into the real world, and now they're doing it again, from scratch. This time, we're focused on augmented knowledge workers: tools that don't just automate tasks, but genuinely help people think better, move faster, and do higher-quality work. The backend is at the heart of this - it's where performance, reliability, data, and product meet. As a Staff Engineer, you'll be building and shaping the systems that everything else depends on. That includes designing and implementing core backend services and APIs, building systems that scale cleanly as usage grows and owning services end-to-end, from early design through production and iteration. You'll also be doing some infrastructure work (cloud architecture, reliability, performance, and tooling) and will work closely with ML, product, and frontend engineers to turn ideas into shipped features. Key experience needed; 5+ Years' experience in SW Engineering with strong knowledge of Go / Rust / C++ Expertise building and operating meaningful backend systems in production Experience building APIs and services that other engineers actually enjoy using Exposure to infrastructure, cloud systems, or platform work You don't need to be an ML expert - but you should be curious about AI products and excited about building real systems around them. Above all, we are looking for demonstrable excellence and evidence of high-performance.

Founding Engineer On-Site San Francisco, CA $170,000 - $200,000 About: We are seeking versatile Sr Software Engineers who specialize across disciplines - Machine Learning, Data Engineering, and Full-Stack Development. The ideal candidate is willing to get their hands dirty, push boundries, and driven by a need to succeed. You will be ready to work diligently and build rapidly to win the market. You should be prepared to challenge existing concepts and develop alternative solutions. Job Summary: You'll operate at the cutting edge of LLMs, computer vision, and data engineering to automate compliance in precision-focused industries. You'll also collaborat with major global industrial partners. Your work will help build a product that leading organizations will depend on to prevent accidents, protect lives, and transform the way they run their operations. Who You Are: Able to make decisions quickly. Proactive. Comfortable with TypeScript, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native. Have a history of building products that have been used. Thrive under pressure and within an unstructured environment. What You'll Do: Speak with users and gather their needs, experiences, and problems. Architect systems that will be used daily by others at billion-dollar companies. Build agent-swarm data pipelines that will autonomously audit. Maintain and scale infrastructure. Produce quickly without the fear of perfection. Work directly with the founding team and customers.

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco. About the Role We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents). To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It's a high-impact position combining hands-on engineering, experimentation, and strategic input. You'll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities. Key Responsibilities Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces. Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case. Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance. Own the full agent pipeline-from model architecture and policy design to simulation frameworks and testing environments. Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance. Partner with technical leadership to shape product direction and research priorities. Mentor and support other engineers, helping to grow a strong, mission-driven technical team. Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories. What You'll Bring Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Hands-on experience fine-tuning LLMs. Deep applied knowledge of reinforcement learning techniques. Experience building agents for real-world applications (bonus: browser-based or robotics experience). Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone. A sense of ownership and drive to build impactful systems beyond titles or hierarchy. Experience mentoring, managing, or growing technical teams. Preferred Qualifications Record of impactful research publications or open-source contributions. Experience in high-growth, fast-paced start-up environments.