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.
Tech Stack
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.
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.
