Senior Product Engineer

Posted 6 Hours Ago
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San Francisco, CA, USA
In-Office
190K-250K Annually
Senior level
Software
The Role
Build and ship AI-powered requirements features, agentic workflows, and full-stack production services. Integrate and evaluate language models, develop RAG systems, prompt and model management, data pipelines, observability, evaluation harnesses, and safety guardrails. Partner with product teams and customers to prototype, validate, and iterate on AI capabilities while balancing reliability, latency, cost, and debuggability.
Summary Generated by Built In
About Flow

Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor.

About the role

Flow is seeking full stack senior software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows—bringing AI into the center of how teams reason about their systems.​

This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​

What you’ll do
  • Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.

  • Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​

  • Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production.

  • Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails.

  • Work across the stack—from backend integrations and APIs to simple UI hooks—to deliver complete AI features, not just model endpoints.

  • Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage.

About you
  • 5+ years developing production software, including designing, testing, and operating services at scale in a cloud environment.

  • Hands-on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).

  • Familiarity with prompt design, retrieval-augmented systems, evaluation methods, and safety/guardrail approaches.

  • Ability to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions.

  • Comfortable working in a high-ownership, fast-paced environment where experiments and iteration are the norm.

Our stack (AI-leaning)
  • TypeScript/Node.js and Python for AI and backend services.

  • Modern LLM APIs and orchestration libraries for building agentic workflows.

  • Postgres and other managed cloud services for data and state.

How we work & values
  • Speed over everything: prototype AI workflows quickly, then harden what works.​

  • Own, downscope, ship, iterate: one clear owner per feature, from prototype to production.​

  • Fundamentals done well: evaluation, observability, and safety are part of the first version, not an afterthought.​

  • Competitive salary and meaningful equity.

  • Health, dental, and vision coverage.

  • Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.

Skills Required

  • 5+ years developing production software
  • Experience designing, testing, and operating services at scale in a cloud environment
  • Hands-on experience with modern LLM providers and tooling, including OpenAI, Anthropic, Hugging Face, vector stores, or RAG patterns
  • Familiarity with prompt design, retrieval-augmented systems, evaluation methods, and safety or guardrail approaches
  • Ability to evaluate tradeoffs between models, architectures, and deployment patterns
  • Experience with TypeScript, Node.js, and Python for AI and backend services
  • Experience with Postgres and managed cloud services
  • Ability to work in a high-ownership, fast-paced environment involving experimentation and iteration
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
14 Employees
Year Founded: 2017

What We Do

Systems engineering is broken. Despite their desperation, engineers' tools are stuck in the dark ages. Engineers are forced to use Word documents and email to stay on the same page, with no real way to collaborate and iterate designs together. Our mission is to vastly accelerate hardware design by building software tools that accelerate the baseline engineering process worldwide. Our product, Flow, is a requirements tool, built for agile teams, that helps teams to bring products to market faster by seamlessly integrating and synchronising their engineering models. Flow is helping teams design their next-generation products, from heavy-duty hydrogen-powered trucks, Electric Vehicles for inner cities, to satellites and rockets. Flow has raised over $9M in Seed funding. Our investors include EQT Ventures, and former C-level execs and leaders from Microsoft, SAP and Unity.

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