{"id":1498922,"url":"https://alion.io/job/flow-engineering-senior-product-engineer","title":"Senior Product Engineer","company":{"id":673245,"name":"Flow Engineering","domain":"flowengineering.com","url":"https://alion.io/company/flow-engineering","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":10,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-30T01:24:25Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-06T22:18:58Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Flow\nFlow 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.\nAbout the role\nFlow 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.\nThis 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.\nWhat you’ll do\nDesign and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.\n\nBuild agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.\n\nEvaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production.\n\nBuild and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails.\n\nWork across the stack-from backend integrations and APIs to simple UI hooks-to deliver complete AI features, not just model endpoints.\n\nPartner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage.\n\nAbout you\n5+ years developing production software, including designing, testing, and operating services at scale in a cloud environment.\n\nHands-on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).\n\nFamiliarity with prompt design, retrieval-augmented systems, evaluation methods, and safety/guardrail approaches.\n\nAbility to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions.\n\nComfortable working in a high-ownership, fast-paced environment where experiments and iteration are the norm.\n\nOur stack (AI-leaning)\nTypeScript/Node.js and Python for AI and backend services.\n\nModern LLM APIs and orchestration libraries 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