Requirements engineer jobs in Santa Rosa, CA

AI Platform Engineer - Infrastructure San Francisco, CA | $150K-$225K + 0.10%-0.50% Equity | Visa Sponsorship Available Our client is an AI-first startup that's reimagining a $900B industry by replacing outdated, pre-internet systems with high-performance AI agents. Fresh off an $8M seed round from top-tier investors, they're looking for a hands-on AI Platform Engineer to design and build the backbone of their platform - infrastructure that enables one person to deliver the output of thousands. In this role, you'll work side-by-side with the founding team to ship production systems at speed. You'll evolve their proprietary context engineering platform, develop evaluation frameworks, architect ML models, and build growth-focused AI tools. This is a role for someone who thrives in high-intensity environments, takes ownership, and measures success by shipped product, not planning decks. Key responsibilities: Enhance their in-house AI Grid platform combining ETL pipelines with LLM orchestration Build evaluation systems using human-annotated datasets for model fine-tuning (SFT/RL) Develop ML models for reasoning engines, load balancing, and market-making systems Architect robust data pipelines feeding multiple destinations (vector DBs, ML platforms, analytics systems) Implement MCP servers to connect agents with tools and persistent memory Create voice AI systems for outbound, follow-up, and customer service use cases Integrate payment providers and financial systems directly into the platform Work closely with forward deployed engineers to ensure business impact You'll be a great fit if you have: Strong background in distributed systems, AI agents, and modern data engineering Proven experience in both TypeScript/Node.js and Python Track record building production ML infrastructure, ETL/ELT workflows, and orchestration systems Experience with MCP protocols, vector DBs, and retrieval-augmented generation Familiarity with voice AI architecture, payment integrations, and real-time processing systems A bias toward action - you ship fast, iterate, and improve continuously Tech stack: TypeScript, Node.js, Python, Next.js, Databricks, Astronomer, Temporal.io, Pydantic-AI, Redis Streams, PostgreSQL, ClickHouse, Apache Airflow, vector DBs, Claude, GPT-4, and more. Why join: This is a rare chance to be early in a well-funded, high-growth AI startup where your work directly shapes the company's technical foundation. The role is based in San Francisco, with relocation assistance provided, and requires working in-office 5.5 days a week alongside an exceptional founding team. If you're an engineer who thrives on building AI systems that change industries, we'd like to hear from you.

We're partnered with a startup, lead by repeat founders and backed by one of Silicon Valley's leading VC's. They're building the data layer for bug fixing production code. This is an exciting opportunity to be Eng #2 at an AI coding based startup. If you've built something exciting with AI agents, and are excited by working on multi-agent reasoning systems, then please apply!

A growing team San Francisco is building the next generation of emotionally intelligent AI systems that combine language, voice, emotion, and visuals to make human and AI interaction feel natural. As a Founding Engineer, you will work directly with the founders to define, build, and scale the product from its core, applying LLMs and multimodal models to create technology that feels alive and human. What you will be doing Building and scaling multimodal AI systems that integrate LLMs, speech, and visual components Designing and developing internal developer tools to accelerate experimentation Working across Python to connect backend model serving with interactive frontends Shaping infrastructure, architecture, and product direction from the earliest stage What we are looking for Strong background in Python Experience with LLMs, embeddings, vector databases, or related AI frameworks Startup mindset with experience as an early hire, founder, or technical lead Excited by the intersection of language, voice, and human machine interaction Ideally a background in ROS, ROS2, Streaming, or Real Time Systems Why join Meaningful early equity in a company The chance to shape both product and culture from the ground up If you are curious about building AI that feels as well as thinks, I would love to hear from you. To apply or learn more: message Jake Denman at Breakthrough Talent.

About You: You will be working on our backend built with Python/FastAPI (with lots of asyncio), Postgres, and Redis. You should be immediately productive coming into a codebase on this stack. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. 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.

Job Title: CQV Engineer Long-Term Project Key Responsibilities Lead commissioning of impact and non-impact utility systems, including: Industrial Water, Sanitary Waste, Refrigerated Water & Distribution WFI & AWFI generation systems, pretreatment skids, WFI storage tanks Autoclaves, Clean Steam & Clean Air Distribution AHUs supporting Grade B & C cleanrooms Ensure compliance with GMP, FDA/EMA regulations, and client PQS. Apply ASTM E2500 and Quality Risk Management (QRM) principles. Prepare and review commissioning documentation: plans, protocols, test scripts, reports, and turnover packages. Support inspection readiness, audits, start-up, troubleshooting, and system handover. Collaborate with engineering, validation, quality, automation, facilities, and operations teams. Qualifications Bachelor's degree in mechanical, chemical, or related engineering field. 8+ years of pharmaceutical commissioning experience. Strong experience with GMP utilities and cleanroom HVAC systems. Knowledge of GMP, PQS, risk management, and regulatory compliance. CCP certification preferred. Strong communication and documentation skills.

You will work closely with data, product, and engineering teams to develop scalable AI systems and integrate models into production environments. Key Responsibilities Design, develop, and deploy machine learning and AI models for production use Build and maintain scalable data pipelines and model-serving infrastructure Train, evaluate, and optimise models for performance, accuracy, and efficiency Work with large datasets to extract insights and improve model outcomes Collaborate with product and engineering teams to translate business needs into AI solutions Monitor, test, and iterate on models in live environments Ensure best practices around model performance, reliability, and security Required Skills & Experience Strong experience in Python and common ML libraries (TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning fundamentals and algorithms Experience deploying models to production environments (cloud or on-prem) Familiarity with data processing tools and pipelines Understanding of model evaluation, optimisation, and monitoring techniques Nice to Have Experience with large language models (LLMs) or generative AI Knowledge of MLOps tools and workflows Experience working with cloud platforms (AWS, GCP, Azure) Background in applied research or experimentation

Role: Senior Cloud Engineer Duration: Contract Cloud Engineer Core Competencies: Core AWS Cloud Engineer with experience in DevOps skills, Agile skills, ability to operate platforms at scale, has done automation, with a focus on maturing the cloud platform. AWS IAM identity-based and resource based policies AWS Networking (route tables, transit gateways, security group rules, VPC, subnets, R53 etc.) AWS CloudWatch and CloudTrail x troubleshooting issues AWS glue AWS Redshift RDS MSSQL Splunk Experience with CI/CD pipelines for infrastructure deployments. Experience with Harness would be a plus, but experience with other CI/CD tools (ArgoCD, CircleCI, Git Hub Actions, Jenkins, etc.) is acceptable. Terraform Experience with Centralized secrets store (AWS Secrets Manager). Git management best practices EKS and k8s cluster management SSO via Okta and role-based access control Experience with Agile project management (scrum and kanban) concepts: sprints, sprint planning, backlog grooming, story points, ticket life-cycle and management.

The AI user experience team inspires and accelerates people-centric futures for emerging technologies across the clients network. We work across disciplines, answering difficult user questions, prototyping, and sharing new UX practices with everyone. UX Engineers work closely with UX designers, UX researchers, project managers, and software engineers on iterative cycles of design, rapid prototyping, and user research. Their work will directly influences the future of their AI products in hardware devices, on screens and everywhere machine learning tools are used. As a UX Engineer, you will lead technical strategy and execution within the team, partnering with leadership across UX, product, and engineering. Your work will not only influence specific features but will help define the long-term technical and experience vision for their AI products in hardware devices, on screens and everywhere machine learning tools are used. UX Engineers in the AI user experience team must lead the search for solutions to open-ended, ambiguous problems lacking clear precedent. You will be responsible for defining the path forward in research, from early large language model tooling to robotics concepts. You will identify opportunities, advocate for technical investments, and set a vision for our team, inspiring teams as a whole to do what's best for our users. Job responsibilities Lead technical decision-making: Act as a cross-functional liaison to drive consensus among UX designers, researchers, PMs, and SWEs. Architect versatile front-end solutions that solve high-complexity problems and answer critical research questions. Validate sophisticated concepts: Lead the creation of complex, high-fidelity prototypes to support user studies and strategic decision-making across the entire development cycle from early explorations to product release. Set technical standards: Serve as a subject matter expert for the broader organization, embracing emerging standards while establishing best practices to push the limits of what browsers, devices, and AI systems can do. Drive impact and execution: Deliver on large portions of projects by writing code, while also mentoring junior engineers and influencing PA stakeholders to align on outcomes that benefit the user. Bridge research and product: Design and develop the front-ends of user-facing products, bringing a human-centered approach to brilliant research while ensuring engineering and design goals meet user needs. Minimum Qualifications BA/BS degree in Computer Science, HCI, Design, or equivalent practical experience. 8 years of relevant work experience in software development or UX Engineering. Deep understanding of fundamental web technologies (JavaScript, HTML, CSS), and experience with the latest web standards, and highly proficient in the latest iterations of those technologies (such as JS/ES6, HTML5, CSS, REST, and mobile web Extensive experience with React, Lit, Angular, or a similar framework. Deep understanding of how to apply AI to accelerate UX and engineering workflows. Experience leading the design and implementation of complex UIs and technical frameworks. Experience with “vibe coding” approaches and toolkits, and an understanding of the best practices in prompt engineering. Preferred Qualifications Experience with general-purpose languages (e.g. Python, Java, C/C++, Go). Experience with hardware rapid prototyping tools (Arduino, Raspberry Pi, etc.). Demonstrated ability to mentor team members, manage ambiguous projects, and influence senior stakeholders. Strong sense of UI design and attuned to the fundamentals of user experience, including accessibility.

Founding Engineer - Applied AI Strativ are assembling the Founding Engineering team for a new AI startup tackling a $100bn+ per year inefficiency in the physical world. Fresh off an 8× oversubscribed Seed round - with investors including Palantir and OpenAI - the company is building advanced agentic AI to transform how $2T of industrial goods move through the global supply chain. This is not another incremental SaaS tool. You'll build AI systems and deploy agents that directly influence how Fortune 100 enterprises run their worldwide operations. You'll be working alongside a world-class early team of ex-Quants, Oxford/Waterloo grads, and engineers from elite tech firms like X. The company has multiple early products already in motion, extremely strong inbound customer demand, and a long-term vision on the scale of Palantir's early mission. If you want to work relentlessly, solve real-world problems with massive economic impact, and help build a generational AI company from day zero; this is that moment. Key skills/experience required; 3+ years' experience in Software Engineering Hands-on experience building with LLMs (OpenAI, Anthropic, HuggingFace, Azure, etc.). Strong understanding of agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom-built tools) Understanding of distributed systems, microservices, and event-driven architectures MS / BS in CS or similar Please apply ASAP for more info.

Mobile Engineer (React Native + iOS/Android) We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries. What You'll Do Design, build, and support easy-to-use mobile applications to help scale the business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add functionality and improve performance, stability, quality, and security Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt Build strong user empathy and maintain a user-centric mindset Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure) Mentor and learn from other engineers Tech Stack React Native iOS Native (Swift) Android Native (Kotlin)

Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution Location: Onsite at our spacious office in San Francisco, California. Company Background Gravity is an advertising network for AI chat Enables advertisers to embed ads in relevant conversations Ads write themselves using AI Launched 3 months ago 16M users on installed platforms $500M/year advertiser spend waiting to onboard Delivered impressions scaling 10x MoM as we connect supply with demand Responsibilities As a founding engineer, you'll be working on: Building and scaling core infrastructure Solving novel technical and product challenges with high ambiguity Driving technical direction with high ownership and autonomy What We're Looking For Solving problems with the end user in mind Full-stack development experience Strong problem-solving ability in ambiguous technical/product areas Experience building and scaling distributed systems Practical experience with LLMs and AI infrastructure Proven track record of ownership and autonomous execution Strong communication skills Why Join Us Solve cutting-edge advertising challenges with AI Shape the future of generative advertising Operate in a flat hierarchy with high ownership and autonomy Competitive compensation and equity Be part of a small, talented, fast-moving founding team in San Francisco Interview Process Initial screening with CEO 45-minute technical interview Onsite interview with CEO (video call for non-SF applicants) Please email your application to ******************** with the subject line Joining Gravity - [Your Name] Include: Your resume A short introduction about yourself Any relevant links, such as GitHub, portfolio, or past projects that show your work

New York or San Francisco (Hybrid) $180,000 - $200,000 + Equity The Company A fast-growing, venture-backed technology company building an end-to-end content engineering platform designed to help brands win visibility across traditional and AI-powered search. Used by thousands of marketers globally, the platform enables teams to understand how their brand appears across new discovery channels and to create high-quality, trustworthy content at scale. With teams across the US and internationally, the company is backed by top-tier venture capital firms and industry leaders and is on a mission to redefine how marketing, creativity, and intelligent systems work together. The Role As a Growth Engineer, you'll sit at the intersection of product, engineering, and growth. Your focus will be on building product-led experiences that attract, engage, and convert prospective customers. You'll create extensions of the core product that drive organic discovery and deepen user engagement, directly influencing how new users find and experience the platform. You'll work closely with senior stakeholders to design scalable systems that support experimentation, learning, and measurable business growth. Key Responsibilities Design and build product features and interactive experiences that introduce new users to the platform and demonstrate value Collaborate with product and engineering teams to ship integrations, extensions, and growth-focused features Use data, experimentation, and user feedback to iterate on product-led growth initiatives Build internal tools and automation to scale growth efforts and measure performance Partner cross-functionally to ensure growth initiatives align with wider business goals Requirements 2+ years' experience in software engineering, growth engineering, product engineering, or a startup environment Proven ability to take ideas from concept to production Ruby or Python experience Experience or interest in growth tooling, experimentation, and product analytics Comfortable working in a fast-paced, high-autonomy environment Benefits Equity in a rapidly scaling startup Competitive benefits package (location dependent) Flexible time off Parental leave Collaborative, fast-moving, and curious team culture TO BE CONSIDERED: Please either apply through this advert or email me directly via *******************************. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Ruby , Rails , Python , Django , Growth Engineering , Product Engineering

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Title: Thermal Test Engineer Contract (C2C) Bay Area, CA (Onsite) Responsibilities: Design, build, instrument, and automate testing equipment for electrical, thermal, and mechanical testing Work together with Design Engineers, Reliability scientists, Material scientists, Quality, and Service to identify failure modes and generate design validation and reliability test plans Perform component-level, system-level, and vehicle-level validation and reliability testing, simulating realistic and accelerated dynamic and environmental conditions Collaborate with test technicians as peers to achieve test objectives Investigate Power Electronics assembly and subassembly failures to drive product development and test improvement Identify and execute experiments targeting new technologies or critical failures Interface and simulate complex vehicular systems to validate firmware/hardware interactions Create novel ways to apply skills learned in the test lab to benefit vehicle products Skills Required: Basic working knowledge of Analog, Digital, and Power Electronics Circuits, general knowledge in Power Electronics, DCDC or DCAC Converters, High Voltage Circuits, Motor Drive/Control Circuit, Sensing circuits, and Microcontrollers is preferred Working experience with electrical test equipment (such as multimeters, DAQs, oscilloscopes, power supplies, and function generator) and hand tools and power tools Familiar with an object-oriented coding language and scripting (Python, MATLAB, etc.), experience in Python and data visualization is preferred Comfort with EDA software of Altium, OrCAD, Cadence, Eagle or equivalent. Working knowledge of mechanical CAD software of SolidWorks, CATIA or equivalent is preferred Basic understanding of Statics, Mechanics of Materials, Fluids, Heat Transfer, Measurement and Instrumentation, and Linear Circuits

About You: You will be working on our backend built with Python/FastAPI (with lots of asyncio), Postgres, and Redis. You should be immediately productive coming into a codebase on this stack. You understand how to build resilient applications with LLMs: managing tool calls, prompts, cost/latency tradeoffs, etc. You have clear likes and dislikes about AI coding tools you have tried, and know what should be better. We dogfood a lot and at the end of the day, we're building for software engineers like ourselves. 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.

Mobile Engineer (React Native + iOS/Android) We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries. What You'll Do Design, build, and support easy-to-use mobile applications to help scale the business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add functionality and improve performance, stability, quality, and security Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt Build strong user empathy and maintain a user-centric mindset Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure) Mentor and learn from other engineers Tech Stack React Native iOS Native (Swift) Android Native (Kotlin)

Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution Location: Onsite at our spacious office in San Francisco, California. Company Background Gravity is an advertising network for AI chat Enables advertisers to embed ads in relevant conversations Ads write themselves using AI Launched 3 months ago 16M users on installed platforms $500M/year advertiser spend waiting to onboard Delivered impressions scaling 10x MoM as we connect supply with demand Responsibilities As a founding engineer, you'll be working on: Building and scaling core infrastructure Solving novel technical and product challenges with high ambiguity Driving technical direction with high ownership and autonomy What We're Looking For Solving problems with the end user in mind Full-stack development experience Strong problem-solving ability in ambiguous technical/product areas Experience building and scaling distributed systems Practical experience with LLMs and AI infrastructure Proven track record of ownership and autonomous execution Strong communication skills Why Join Us Solve cutting-edge advertising challenges with AI Shape the future of generative advertising Operate in a flat hierarchy with high ownership and autonomy Competitive compensation and equity Be part of a small, talented, fast-moving founding team in San Francisco Interview Process Initial screening with CEO 45-minute technical interview Onsite interview with CEO (video call for non-SF applicants) Please email your application to ******************** with the subject line Joining Gravity - [Your Name] Include: Your resume A short introduction about yourself Any relevant links, such as GitHub, portfolio, or past projects that show your work

We are actively searching for a Founding Senior Backend Engineer to join our team on a permanent basis. In this position you will lead the design and development of our backend infrastructure that powers our protocol (think everything off-chain). If you are someone that is impressed with what Hyperliquid has accomplished then this role is for you. We are on a mission to build next generation lending and debt protocols. We are open to both Senior level and Architect level candidates for this role. Your Rhythm: Drive the architecture, technical design, and implementation of our backend infrastructure Build and maintain low latency indexing infrastructure Build and maintain our offline and online data analytic pipelines that power our trading and risk engines Lead code reviews, providing constructive feedback and ensuring adherence to established coding standards and best practices Your Vibe: 6+ years of professional software engineering experience 2+ years of experience working on backends interacting with blockchains in production environments 5+ years of experience working with a modern backend languages (Go, Rust, Python, etc) in distributed architectures Strong knowledge around DeFi products Open to collaborating onsite a few days a week at our downtown SF office Our Vibe: Relaxed work environment 100% paid top of the line health care benefits Full ownership, no micro management Strong equity package 401K Unlimited vacation An actual work/life balance, we aren't trying to run you into the ground. We have families and enjoy life too!

Title: Thermal Test Engineer Contract (C2C) Bay Area, CA (Onsite) Responsibilities: Design, build, instrument, and automate testing equipment for electrical, thermal, and mechanical testing Work together with Design Engineers, Reliability scientists, Material scientists, Quality, and Service to identify failure modes and generate design validation and reliability test plans Perform component-level, system-level, and vehicle-level validation and reliability testing, simulating realistic and accelerated dynamic and environmental conditions Collaborate with test technicians as peers to achieve test objectives Investigate Power Electronics assembly and subassembly failures to drive product development and test improvement Identify and execute experiments targeting new technologies or critical failures Interface and simulate complex vehicular systems to validate firmware/hardware interactions Create novel ways to apply skills learned in the test lab to benefit vehicle products Skills Required: Basic working knowledge of Analog, Digital, and Power Electronics Circuits, general knowledge in Power Electronics, DCDC or DCAC Converters, High Voltage Circuits, Motor Drive/Control Circuit, Sensing circuits, and Microcontrollers is preferred Working experience with electrical test equipment (such as multimeters, DAQs, oscilloscopes, power supplies, and function generator) and hand tools and power tools Familiar with an object-oriented coding language and scripting (Python, MATLAB, etc.), experience in Python and data visualization is preferred Comfort with EDA software of Altium, OrCAD, Cadence, Eagle or equivalent. Working knowledge of mechanical CAD software of SolidWorks, CATIA or equivalent is preferred Basic understanding of Statics, Mechanics of Materials, Fluids, Heat Transfer, Measurement and Instrumentation, and Linear Circuits