Senior AI Engineer

Що робити

01 — Take large features from idea to production.
Own agentic workflows and AI on mobile end to end. Start from the user's problem, shape the solution, write the plan and the tickets, build the React and mobile interfaces that make AI output trustworthy and actionable, ship it, and measure whether it worked.
02 — Make and own large system changes.
Propose, defend, and carry through the architecture and infrastructure the AI layer depends on — background agents and job queues, observability, cost metering, per-tenant limits, and model version pinning.

8+ years building and shipping production software, including 2+ years shipping LLM-powered features to real users, and a track record of owning large features end to end.
AI-native engineering practice — you've rebuilt how you work around agents rather than adding them to an old workflow. Claude Cowork as your primary tool, with strong hands-on experience using Claude Code, Cursor, Codex, or similar; you direct agents through most of the implementation and stay disciplined about the quality, stability, and extensibility of what they produce.
Product sense and ownership — you work from problems, not specs. You figure out what users and the business actually need, write your own tickets, make the call when the answer isn't obvious, and drive work to done without needing direction repeated.
Production LLM application engineering — tool calling, structured output, prompt and context design, and streaming, with Claude, OpenAI, or similar, via AWS Bedrock or direct APIs.
Retrieval-augmented generation in production — chunking, embeddings, and hybrid search on pgvector or equivalent, with access control enforced at retrieval time.