The Role :

We're looking for a Full-Stack AI Engineer who's equally comfortable shipping a clean React UI, a FastAPI backend, and an LLM-powered agent that works in production. Here, AI isn't bolted on - it's the product. You'll own features end-to-end alongside a small, high-trust team that ships fast and cares about quality.

What You'll Do :

- Build full-stack features across frontend, backend, data, and AI layers.

- Design and ship agentic AI systems with LangChain and modern orchestration patterns.

- Make real architecture and system design calls - APIs, scale, cost, trade-offs.

- Review code, mentor where it helps, and contribute to engineering culture and standards.

What We're Looking For :

Around 5 years of strong full-stack experience, with real depth in modern AI engineering. Specifically :

- Frontend : solid command of JavaScript/TypeScript and React. You can build clean, responsive UIs and you care about UX details.

- Backend : production experience with Python and FastAPI. You write APIs that are clean, tested, and easy to evolve.

- Databases : comfortable across SQL (PostgreSQL/MySQL) or NoSQL (MongoDB, Redis, or similar). You think about data models, not just queries.

- GenAI : hands-on with LangChain, prompt engineering, RAG, and agentic AI patterns. You've shipped LLM features that real users depend on.

- AI Tooling : fluent with Claude Code, Cursor, Copilot, and similar tools. You know when to lean on them and when not to.

- Architecture : strong grasp of system design, distributed systems basics, and the trade-offs that come with scale.