Senior Product Engineer
Flowengineering · San Francisco
About this role
## About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations. We help hardware teams collaborate with AI agents to design, validate, and evolve complex systems—with speed and rigor. ## About the Role Flow is seeking **Senior Full Stack Software Engineers** to build **AI-powered capabilities** that help teams author, review, and manage requirements more effectively. You’ll 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**, taking ideas from prototype to stable, observable production features. ## What You’ll Do - Design and ship AI-powered features such as **assisted requirement drafting**, **consistency checks**, **impact analysis**, and **intelligent suggestions**. - 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 supporting infrastructure: **data pipelines**, **evaluation harnesses**, **prompt and model management**, **observability**, and **safety/guardrails**. - Work across the stack—from **backend integrations and APIs** to **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 models, architectures, and deployment patterns—and make pragmatic decisions. - Comfortable working in a **high-ownership, fast-paced** environment where experimentation 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 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.
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