Flow Engineering
Senior Software Engineer, AI – San Francisco
San Francisco · Senior
Sponsorship not specifiedDetected 198 days ago
TypeScriptPythonNode.jsFull-Stack DevelopmentPostgreSQLVector DatabasesMachine LearningData EngineeringLLMsRAGAgentic AIA/B TestingSystems Engineering
About the role
- 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.
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.
- 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.
- 5+ years developing production software, including designing, testing, and operating services at scale in a cloud environment.
- Familiarity with prompt design, retrieval-augmented systems, evaluation methods, and safety/guardrail approaches.
- Modern LLM APIs and orchestration libraries for building agentic workflows.
Requirements
- 3+ years of experience in applied ML, LLMs, or adjacent fields, with a track record of shipping ML/LLM-powered features in production.
- Hands-on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).
- Ability to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions.
Compensation
- Competitive salary and meaningful equity.
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.
Company info
- Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage.
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