Silver.dev

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.