Teams at Flow Engineering

Build and ship AI-powered features for requirements engineering, including drafting, consistency checks, impact analysis, intelligent suggestions, and agentic workflows. Integrate and evaluate language models while optimizing reliability, latency, cost, observability, and safety. Develop supporting data pipelines, evaluation systems, prompt and model management, and backend and UI integrations. Collaborate with product teams and customers to prototype, launch, and iterate on production AI capabilities.

Leads and grows an engineering team responsible for Flow’s AI-native requirements platform. Owns product execution from customer scoping through iteration, makes architecture decisions, reviews code, contributes hands-on, establishes engineering practices, and partners with recruiting. The role directs development of agentic workflows and LLM-powered features while collaborating with product, design, customers, and forward-deployed engineers.

Forward Deployed Engineer supporting customer adoption of Flow through technical demos, proof-of-concepts, workflow mapping, enablement, training, and deployment guidance. The role connects customers, sales, and engineering, influences the product roadmap, and helps establish technical go-to-market playbooks. Candidates should have strong software engineering fundamentals, customer-facing communication skills, and ideally experience in hardware or systems engineering, technical sales, and complex engineering industries.