Software Engineer, AI/ML – San Francisco
About The Position
Flow Engineering is building an AI-native requirements platform for modern engineering organizations. Flow’s vision is to support “agentic systems engineers” and “agentic domain engineers” working alongside AI agents to design and operate complex systems. About the role Flow is seeking an AI/ML-focused Software Engineer 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.
Requirements
- 3+ years of experience in applied ML, LLMs, or adjacent fields, with a track record of shipping ML/LLM-powered features in production.
- Strong software engineering fundamentals, 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.
Responsibilities
- 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.
Benefits
- 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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
