Responsibilities:
— Own the system architecture and make key technical decisions across the platform.
— Design and build multi-agent systems and orchestration infrastructure that take products from idea to launch.
— Develop self-improving agent harnesses, including feedback loops, evaluation systems, and memory.
— Build and maintain AI-powered backend services on top of LLM APIs such as Anthropic, OpenAI, and Gemini.
— Write production code, particularly around agent runtime and orchestration.
— Debug and improve AI behavior in production through prompt engineering, structured outputs, retries, and fallbacks.
— Break down complex technical challenges into actionable milestones and prioritize the engineering roadmap.
— Establish engineering standards around code reviews, testing, observability, and release processes.
— Lead and support the engineering team while remaining deeply involved in implementation.
Requirements:
— 4+ years of professional software engineering experience.
— Previous technical leadership experience at an early-stage company (Founding Engineer, Tech Lead, Head of Engineering, or similar).
— Hands-on experience building and shipping multi-agent systems and orchestration frameworks to production.
— Experience developing self-improving or self-evolving agent harnesses.
— Strong backend engineering skills, including designing and maintaining APIs, services, and data flows.
— Experience working with LLM-based systems, including prompt engineering, model configuration, structured outputs, embeddings, retrieval, and evaluation.
— Daily hands-on experience with AI coding agents such as Claude Code, Cursor, OpenAI Codex, or similar tools.
— Ability to delegate work to agents, review their output, and verify what they build.
Nice to have:
— Strong TypeScript and Node.js experience.
— Experience with Vercel AI SDK, Claude Agent SDK, or building custom agent runtimes.
— Experience with PostgreSQL, Supabase, and pgvector.
— Familiarity with background job systems such as Inngest or Pub/Sub.
— Experience with Zod, Vitest, and GCP Cloud Run.
— Experience growing or restructuring distributed engineering teams.
— Interest in AI evaluation, safety, and observability.
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