Posted Mar 10, 2026
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. ## 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.
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