8+ years of experience in production software development, including design, testing, and scaling services in cloud environments.
Hands-on experience with modern language model providers like OpenAI and Hugging Face.
Familiarity with prompt design and evaluation methods for AI systems.
Knowledge of retrieval-augmented systems and safety approaches.
Ability to assess tradeoffs in model architectures and deployment strategies appropriately.
Responsibilities
Design and implement AI-powered features for requirements management.
Develop workflows that enable agentic systems and domain engineers to explore designs and validate requirements.
Integrate and optimize language models and related tools for performance in production.
Maintain infrastructure such as pipelines, management systems, and observability tools.
Collaborate with product teams and customers to identify valuable workflows and iterate rapidly.
Benefits
Health, dental, and vision coverage.
Flexible time off to encourage work-life balance.
Support for exploration, learning, and keeping up with AI advancements.
Competitive salary and meaningful equity participation.
Full Job Description
About the role
Flow is seeking staff 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
8+ 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.
