Node TS + React TS + LLM Agents | Full Stack Developer

We're hiring a senior full-stack engineer to help us build AI-powered products end-to-end. You'll own features from rough idea to production: architecture, implementation, testing, release, and iteration. The work spans modern web (Node.js, React, Next.js, TypeScript) and LLM agents (tooling, function calling, integrations, evaluation, and reliability).

You'll thrive here if you: (a) write clean, production-grade code fast, (b) treat tests and monitoring as part of "done," (c) think like a founder-challenge assumptions, propose better paths, make decisions with incomplete data, and ship. We're an A-player team; we expect proactive ownership, direct communication, and the courage to push back when something isn't right.

What success looks like:

• In first weeks days: ship a user-visible feature, add/extend an agent tool, and land solid PRs with strong tests.
• In first Q days: lead a small project across front-end, back-end, and an LLM integration (OpenAI/Anthropic/Gemini or Vercel AI SDK/OpenRouter), with metrics and basic evals.
• Be a go-to owner for a product slice, raising code quality, performance, and reliability while mentoring others on agent patterns.

• 12+ years professional software engineering experience delivering production systems.
• Full-stack depth: Node.js, React.js, Next.js, and TypeScript at an expert level (types as design, not decoration).
• AI/LLM agents: hands-on experience building agents with function/tool calling, multi-tool orchestration, retries, cost/latency trade-offs, and safety/guardrails. Comfortable with prompt design, schema design, and deterministic interfaces.
• APIs & SDKs: strong with OpenAI, Anthropic, Google Gemini; plus nice to have one of Vercel AI SDK or OpenRouter. Able to design clean abstraction layers over external models/tools.
• Systems & product thinking: convert fuzzy requirements into simple, resilient architectures. Bias to ship; know when to spike, when to harden.
• Testing discipline: writes your own unit, integration, and happy-path/end-to-end tests; partners with QA for edge-cases and complex scenarios. "It works on my machine" is not done.
• Quality in production: observability (logs/metrics/traces), feature flags, canary/rollbacks, performance profiling, and error budgets are familiar tools, not buzzwords.
• Data & storage: practical experience with REST/GraphQL, Webhooks, background jobs/queues, caching, and at least one SQL database. Comfortable with pagination, idempotency, and rate-limit strategies.
• Security & privacy: sound judgment around secrets, authZ/authN, PII handling, and least-privilege by default.
• AI-assisted development: enthusiastic and effective using AI for coding/review/testing, while maintaining rigorous standards and architectural sense.
• Collaboration: crisp written communication, clear PRs, structured RFCs, and constructive code reviews.
• Founder mindset: proactive, decisive, comfortable with uncertainty. Preferred: familiarity with Y Combinator content/principles (default alive, talk to users, build/measure/learn).

Nice to have (not required): RAG pipelines, vector DBs, lightweight eval harnesses, prompt/version management, streaming UX, and cost telemetry.

• Competitive Rate ?
• Work From Home
• Training & Development
• Equity Plan ?
• Career Opportunities
• Core Team

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