Software engineering internship jobs in San Francisco, 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

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.

🚀 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.

🌎 San Francisco (Hybrid) 💼 Founding/Staff Engineer 💵 $200-300k base Our client is an AI-native research and product lab on a mission to redefine how global finance operates. Backed by a team that includes former Google DeepMind researchers and engineers, they are applying frontier AI to some of the most complex, high-stakes problems in finance. This is a true founding engineer opportunity. You'll help turn cutting-edge AI research into production systems used by real financial institutions, while shaping the technical foundation, standards, and culture from the ground up. What you'll do Build core product features end-to-end, spanning frontend, backend, and infrastructure using TypeScript, React, and Node.js. Productionize frontier ML research, working closely with researchers to ship robust, user-facing AI systems. Design and own critical services, architecting reliable, scalable infrastructure with Docker and Kubernetes. Set the engineering bar as a founding team member-establishing standards for code quality, testing, and development workflows. Prototype rapidly, ship decisively, and iterate continuously, collaborating closely with product managers, designers, and researchers. Make thoughtful architectural decisions, including rewriting systems when it meaningfully improves long-term quality and simplicity. The ideal candidate: Have built polished, high-performance web applications end-to-end, from design through production deployment. Are deeply fluent in modern frontend development, including TypeScript, React, Tailwind, and Next.js. Can comfortably design and evolve backend microservices (Node.js or Python) to deliver features end-to-end. Are an expert in at least one statically typed language and have strong instincts around type safety, maintainability, and correctness. Have experience deploying production systems with Docker and Kubernetes on GCP Use AI as a productivity multiplier-but critically evaluate AI-generated code, catching bugs and calling out poor design. Thrive in a high-performance, high-ownership environment alongside other strong engineers. Enjoy tackling technically deep, ambiguous problems and thinking carefully about product tradeoffs. Nice to have: Experience working with ML or applied research teams, or familiarity with ML pipelines. Background in fintech, trading, quant platforms, or other high-stakes domains. Prior experience as an early-stage or founding engineer.

The Role Our client is seeking a Staff Software Engineer to join a small, senior team as a highly skilled individual contributor. In this hybrid role, you'll work across the stack to build new user-facing features and develop integrations with CAD and third-party applications. You'll partner closely with product managers, AI researchers, and other engineers to turn new ideas into production-ready systems at scale. What You'll Do Design and build scalable, reliable full-stack systems using React, Node.js, and Python. Deploy an ML model to production: you've done it before, and you'll do it again: build robust products that users love. Collaborate closely with ML and data teams to integrate models and pipelines into real-world products. Architect backend systems around AWS services, databases, and modern data infrastructure. Own performance and scale: build APIs, indexes, and search systems that make high-dimensional data feel instant. Contribute to product direction: work with design, AI, and leadership to turn technical capabilities into delightful user experiences. (Optional but exciting): advance 3D visualization, geometry, or rendering engines that make engineering feel magical. What We're Looking For You're a strong generalist who can build, ship, and scale complex full-stack systems. You're fluent in React, Node.js, and Python, and comfortable designing APIs, services, and data flows end-to-end. You've shipped large production systems, ideally ones that touch ML, data, or search. You have experience with AWS databases, and you enjoy thinking about indexing, search, and vector data systems. You're pragmatic, product-minded, and enjoy owning features from concept to deployment. You collaborate naturally with AI, design, and data teams, and love turning complexity into clarity. Bonus points if: You've worked with large-scale data processing pipelines. You have an interest in math, geometry, topology, rendering, or computational geometry. You've built software in 3D printing, CAD, or computer graphics domains. This is a rare opportunity to create the interfaces, infrastructure, and experiences that bring a new kind of intelligence to the physical world, and help define how AI becomes a tool for the imagination. You love building systems that are elegant, fast, and deeply technical, and want to see them shape the real world. Let's build the tools the future will be made in. Compensation The base salary range for this role is $175,000 - $240,000, plus equity. Flexible PTO and competitive compensation. Final offers will be based on experience, interview performance, and alignment with role requirements.

Hi, Greetings from Solvecube HCM I hope you are enjoying a great day! I am from Solvecube HCM, an AI Based global consulting firm head quartered in Singapore. Our client is a Healthcare AI Startup based in San Francisco, USA and looking for a great tech leader as their Principal Engineer. It is a permanent role with client. Your experience at Ambience Healthcare must have equipped you with unique insights and skills that could be a great fit for this role. This opportunity offers a chance to work with a talented team and fixed Salary+Stock options. Key Responsibilities Set technical vision and lead architecture for AI-first platform services. Build advanced systems in LLMOps, reinforcement learning, and AI pipelines. Evaluate and integrate cutting-edge frameworks (LangChain, Hugging Face, RAG). Collaborate with leadership on long-term technology strategy. Mentor senior engineers across India and US teams. Qualifications 10+ years of experience in software/AI engineering, including leadership roles. Deep expertise in PyTorch, TensorFlow, LangChain, Hugging Face. Proven ability to innovate and deliver in startup/scale-up environments. Strong communication and collaboration skills. If this sounds intriguing, I'd love to chat more about it. Feel free to reply to this email or let me know if you'd prefer a quick call. Looking forward to hearing from you soon! If you are not exploring at this moment let me know if you have a strong reference for the same. Please note: The incumbent should be a local citizen or a Green card holder to be eligible. Best regards, Lijy Ronnie Mail me : ******************

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes

This is a full-time role with a client of Dinan & Associates. This role is with an established company and includes excellent health care and other benefits. Role: Principal / Senior Principal Software Engineer Industry: Biotechnology / Pharmaceutical R&D Location: San Francisco Bay Area (Hybrid) The Organization We are a leading global biotechnology company driven to innovate and ensure access to healthcare for generations to come. Our goal is to create a healthier future and more time for patients with their loved ones. The Position Advances in AI, data, and computational sciences are transforming drug discovery and development. Our Research and Early Development organizations have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Our Computational Sciences group is a strategic, unified team dedicated to harnessing the transformative power of data and Artificial Intelligence (AI) to assist scientists in delivering innovative medicines for patients worldwide. Within this group, the Data and Digital Solutions team leads the modernization of our computational and data ecosystems by integrating digital technologies to empower stakeholders, advance data-driven science, and accelerate decision-making. The Role The Solutions team develops modernized and interconnected computational and data ecosystems. These are foundational to building solutions that accelerate the work done by Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage, and sharing. As a Software Engineer in the Solutions Engineering capability, you will work closely with Data Engineers, Product Leaders, and Tech/ML Ops, as well as directly with key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of diverse scientific data, accelerating the discovery and development of life-changing treatments. Key Responsibilities Technical Leadership: Provide strategic and tactical technical leadership for ongoing initiatives. Identify new opportunities with an eye for consolidation, deprecation, and building common solutions. System Design: Responsible for technical excellence, ensuring solutions are innovative, best-in-class, and integrated by delivering data flows and pipelines across key domains like Research Biology, Drug Discovery, and Translational Medicine. Architecture: Learn, deeply understand, and improve Data Workflows, Application Architecture, and Data Ecosystems by leveraging standard patterns (layered architecture, microservices, event-driven, multi-tenancy). Collaboration: Understand and influence technical decisions around data workflows and application development while working collaboratively with key partners. AI/ML Integration: Integrate diverse sets of data to power AI/ML and Natural Language Search, enabling downstream teams working on Workflows, Visualization, and Analytics. Facilitate the implementation of AI models. Who You Are Education: Bachelor's or Master's degree in Computer Science or similar technical field, or equivalent experience. Experience: 7+ years of experience in software engineering (Principal Software Engineer level). 12+ years of experience (Sr. Principal Software Engineer level). Full Stack Expertise: Deep experience in full-stack development is required. Strong skills in building Front Ends using JavaScript, React (or similar libraries) as well as Backends using high-level languages like Python or Java. Data & Cloud: Extensive experience with Databases, Data Analytics (SQL/NoSQL, ETL, ELT), and APIs (REST, GraphQL). Extensive experience working on cloud-native architectures in public clouds (ideally AWS) is preferred. Engineering Best Practices: Experience building data applications that are highly reliable, scalable, performant, secure, and robust. You adopt and champion Open Source, Cloud First, API First, and AI First approaches. Communication: Outstanding communication skills, capable of articulating technical concepts clearly to diverse audiences, including executives and globally distributed technical teams. Mentorship: Ability to provide technical mentorship to junior developers and foster professional growth. Domain Knowledge (Preferred): Ideally, you are a full-stack engineer with domain knowledge in biology, chemistry, drug discovery, translational medicine, or a related scientific discipline. Compensation & Benefits Competitive salary range commensurate with experience (Principal and Senior Principal levels available). Discretionary annual bonus based on individual and company performance. Comprehensive benefits package. Relocation benefits are available. Work Arrangement Onsite presence on the San Francisco Bay Area campus is expected at least 3 days a week.

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.

Senior Software Engineer Experience Level: Senior (7+ years) About the Role We're looking for a Senior Software Engineer who thrives on turning conversations into actionable, user-focused solutions. You'll work closely with stakeholders to deeply understand problems, identify root causes, and deliver thoughtful, high-quality software that stands the test of time. Requirements 7+ years of experience designing, implementing, and testing software. Strong fluency in core software design principles. Experience with test-driven development (TDD). Familiarity with service-oriented architecture and distributed system fundamentals. Excellent ability to communicate technical concepts clearly to both technical and non-technical audiences. Bonus points for experience with Microservices, Pub/Sub, Event Sourcing, Eventide, and Message DB. Technologies We Use Languages & Frameworks: Ruby on Rails Event-Driven Tools: Eventide, Message DB Databases: PostgreSQL Infrastructure: Kubernetes, Terraform Cloud: Azure

Atomus' mission is to provide world class cybersecurity for the world's most critical organizations. We build security compliance software delivered as managed services sold directly, with relevant professional services and support. Examples of our commercial customers include hypersonic aircraft companies, satellite and space mission systems companies, AI and software companies, among many other companies serving primarily the aerospace and defense industry. At Atomus we are hardworking, we move fast, and we put our customers first. This role is in person, working with the rest of our team in our downtown San Francisco office. Primary Duties: As part of the early engineering team at Atomus, you will be building key infrastructure to scale the foundations of critical products like multiplatform applications (Windows, MacOS, Ubuntu) to help alleviate risk and build compliance and security program for the customers. You will work closely with the Co-Founder and the Customer Success team to build products to support security and compliance for growing customer infrastructure. Building Infrastructural backend engines on cloud-based platforms like Azure and GCP Scaling infrastructure to support multiplatform applications (Windows, MacOS, Ubuntu) Maintaining a deep understanding of the customer's and market needs Architecting engineering processed to enable and inspire security-first thinking Support customer-facing web-based platforms (NextJS, TypeScript, Postgres) You'll also lay the groundwork for engineering and product processes, ensuring that our team can continue to build quickly and serve our customers for years to come. Our stack leverages NextJS, TypeScript, Postgres, Azure, Go, and Electron. We firmly believe that exceptional engineers can master any tech stack, so lack of experience with our specific tools should not deter you from applying. We focus on the ability to ship code quickly and continuously. About You: You have 4+ years of full-time experience in software engineering, specifically in either web-based customer SaaS platforms or multi-platform desktop applications and agents. Strong knowledge of best practices in modern software development such as deployments, CI/CD, Operating Systems, and Databases. Experience working with modern technologies such as NextJS, Postgres, and Azure. You might be a good addition if you: Have worked on security or compliance-based value driven product. Have experience working on large-scale desktop-based applications with cloud-based infrastructure problems. Enjoy understanding the nitty gritty of technical domains deeply. Comfortable with building on all three operating systems. You move quickly, are self-motivated, can roll up your sleeves and are comfortable with ambiguity.

Senior Software Engineer, Product _San Mateo-CA_Full-Time (FTE)_Direct Hire Senior Software Engineer, Product Job Type: Full-Time (FTE) Base Salary: $170,000 to $250,000+Best-in-class benefits About the Role: As a Software Engineer working on Product, you will design, build, improve user facing applications and systems that deliver an exceptional experience. What you might work on: * Lead large application development projects, including planning, designing and implementing across the stack. * Collaborate and contribute on the core product direction that leverages system improvements and deliver ever higher customer value * Maintain and enhance overall tooling, working on both frontend and backend components * Champion best practices in software development, including code reviews, testing, and maintainability, to ensure high-quality and resilient software. * Contribute to the design and implementation of robust API, authentication, and middleware solutions, enhancing the scalability and security of our platform. Things we're looking for: *Proven track record of shipping high-quality code in challenging projects *Significant experience working with JavaScript/TypeScript, React and Python *You sweat the important details and are passionate about maintainable, scalable frontend concepts *Experience across the entire stack, from backend to frontend (and if you have a preference, we'd love to consider it!) Skills and Certifications: *JavaScript/TypeScript *React *Python *Backend experience *Frontend experience *Able to work at least 3 days / week from office Candidate Details: *2+ to 5 years experience *Seniority Level - Mid-Senior *Minimum Education - Master's Degree

Senior Software Engineer - YC-backed AI Platform $150K-£300K + 0.25%-0.75% equity San Francisco (preferred) / Remote - with monthly SF visits Our client, a YC-backed startup with a recent $6M seed round, is on a mission to empower non-technical founders to turn ideas into scalable software businesses. Their platform bridges the gap between AI-generated code and production-ready products - delivering not just the build, but the infrastructure, tooling, and go-to-market support to help new companies succeed. This is a rare opportunity to join a high-caliber founding team (ex-serial founders with a decade of working together) and work on deep, complex engineering problems that make sophisticated tech invisible to end users. What you'll do: Design and build full-stack features from scratch - front-end, back-end, infra, and architecture Architect modular, reusable systems that scale Work closely with product and design to ship quickly without sacrificing quality Collaborate with a small, senior team that values high autonomy and zero fluff Keep pace with the latest technologies and contribute to technical direction Take ownership end-to-end - no “just my piece of the stack” mentality What we're looking for: 4-10 years' experience in software engineering, with strong CS fundamentals Proven 0-to-1 product experience (ideally as a Founding Engineer or early hire at a VC-backed startup) Fluency in TypeScript and React (React Native a plus) Experience with AWS, Docker, Postgres, and scalable architectures Ability to operate without heavy reliance on AI coding tools - you can code and architect from scratch Strong communicator who thrives in high-autonomy, fast-paced environments Based in or willing to relocate to SF (remote possible for exceptional candidates who can attend 3-day on-site sprints monthly) Why join? Be part of a high-bar engineering culture - every teammate is senior-level or above Ship products that help thousands of founders bring their ideas to life Competitive comp - salary at the 90th percentile for top performers, plus meaningful equity Work directly with the founders to shape the company's technical future No bureaucracy, no layers - just a flat, hands-on team moving fast If you're the kind of engineer who loves building from the ground up, hates red tape, and wants to work with an elite team solving ambitious problems, we should talk.

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

Job Title: Senior Software Engineer (Full-Stack) Employment Type: Full-time Salary: $175K - $250K per annum About Client: Our client is a Series A start up, growing quickly as they onboard new customers and scale platform, using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we've built technology that is able to harness this data to help make better lending decisions. We've coupled this underwriting agent with advanced document and identity anti-fraud, and we're working toward democratizing sophisticated consumer underwriting for all. About the Role Seeking a Staff Software Engineer with 7-8+ years of experience to lead the re-architecture of our core platform as we scale rapidly. After two years of fast-paced product development, our system has grown into a collection of disparate services, and we need a senior IC to unify, rebuild, and streamline the foundation. This role reports directly to the CTO and plays a critical part in shaping the technical future of the company. What We're Looking For 7-8+ years of professional experience as a strong individual contributor. Deep expertise in systems design, architectural refactoring, and scaling codebases beyond the “fast startup” phase. Experience at a high-growth startup (Seed → Series B/C) where engineering teams expanded meaningfully. Strong full-stack or backend skills (Typescript, React, Node.js, Python preferred). Ability to navigate ambiguity, make sound technical decisions with incomplete context, and iterate quickly. High engineering bar-someone who can elevate the code quality and system design of the entire team. Tech Stack Frontend: Typescript, React Backend: Node.js, Python Databases: Postgres, BigQuery, Redis Cloud: GCP Seniority & Experience 7+ years in full-stack software engineering (backend-leaning). Experience leading technical projects, refactoring code, and re-architecting systems. History of progression or promotions within startup roles (e.g., to Staff/Principal level). Education CS degree from a top 20 school What You'll Do Architect & Rebuild the Core System Re-architect major parts of the existing platform into a cleaner, scalable, and more maintainable system. Refactor or remove unnecessary code to create a cohesive architecture. Drive high-level technical decisions across backend and full-stack systems. Establish and reinforce best practices and architectural consistency across the engineering team. Lead High-Impact Feature & Infrastructure Work Collaborate with the CTO to define long-term technical direction. Work with senior and junior engineers to implement new features and improve systems. Support onboarding of larger enterprise customers by enhancing platform stability and extensibility. Own Key Product Initiatives Lead system architecture for new workflows, including real-time ID, income, and document verification. Integrate and maintain in-house ML models used for fraud detection and financial document understanding. Improve the technical foundation powering our 70%+ automated approval/denial workflow. Why Join This is a rare opportunity to join a fast-scaling Series A company with real customers and traction. You'll act as the technical adult in the room, refactoring, simplifying, and shaping the long-term architecture while influencing major product decisions. You will have a direct impact on the company's core systems and help define the foundation for future growth.

Job Description - Senior Software Engineer Position Type: Full Time Salary Range: $150,000 - $190,000 Sponsorship: Can transfer existing H1B; No new H1B sponsorship Start Date Target: Immediate (High priority) About the Role We are seeking a Senior Software Engineer to join our team building high-performance, distributed software systems powering next-generation robotics and automation platforms. The role requires hands-on experience developing mission-critical real-time systems for warehouse automation and robotic orchestration. Candidates must have strong experience building distributed, fault-tolerant systems and deep expertise with Erlang or similar functional, concurrent programming languages. Key Responsibilities Design and implement core modules in Erlang to build scalable and distributed systems. Lead development of complex features and solve system-level engineering challenges. Collaborate with architects and cross-functional teams to define low-level design and contribute to technical roadmaps. Refactor and optimize services for performance, reliability, and scalability. Conduct code reviews, mentor junior engineers, and enforce engineering best practices. Utilize simulation and testing frameworks to validate system behavior at scale. Required Experience and Technical Skills Minimum 3+ years of professional software development experience. Hands-on experience with Erlang preferred and strong understanding of concurrency models including message passing, processes, and supervision trees. Experience with any of the following will be considered: Erlang Elixir Gleam Pony Akka (Scala) Haskell Experience developing and maintaining distributed, high-availability systems. Experience with microservices architecture and REST APIs. Proficiency with relational databases (SQL, RDBMS) in production environments. Strong knowledge of software architecture, OOP, and system design patterns. Experience using Git or similar version control systems. Nice to Have Background in real-time systems, telecom-grade architectures, or robotics platforms. Experience with CI/CD pipelines, Docker, Kubernetes, and containerized deployments. Industry experience in warehouse automation, logistics, robotics, fulfillment, or e-commerce. Education Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline. Soft Skills Strong analytical and debugging abilities. Excellent communication and collaboration skills. Ability to deliver high-quality work in fast-paced environments.

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

About the Role We are seeking a Senior Software Engineer with strong expertise in functional programming and distributed, high-availability systems. You will design and build core components that power large-scale automation, real-time decision systems, and mission-critical distributed architectures. This role is ideal for engineers who are passionate about concurrency models, fault tolerance, and building reliable systems at scale. Key Responsibilities Design, develop, and optimize core modules for distributed, high-performance systems. Build fault-tolerant architectures using concurrency-oriented programming models. Lead development of key product features, contributing to system-level design decisions. Improve system performance through refactoring, algorithmic optimization, and deep debugging. Collaborate with cross-functional teams including product, architecture, and platform engineering. Use simulations and testing frameworks to validate performance and reliability at scale. Participate in code reviews and provide technical mentorship to team members. Required Qualifications 3+ years of hands-on experience with at least one of the following languages: Erlang Elixir Gleam Pony Akka (Scala) Haskell Strong experience building and operating distributed systems in production. Solid understanding of the actor model, message passing, concurrency, and supervision patterns. Experience with microservices architecture and REST-based APIs. Proficiency with RDBMS/SQL in production environments. Strong foundation in software design, system design patterns, and debugging complex systems. Familiarity with Git or other version control tools. Ability to work onsite 3-5 days per week in Redwood City, CA. Preferred Qualifications Experience in real-time systems, robotics, warehouse automation, or telecom-grade platforms. Exposure to CI/CD pipelines and container technologies (Docker, Kubernetes). Master's degree in Computer Science or related engineering discipline. Strong analytical mindset with the ability to solve complex, system-level challenges.