AI Product Engineer

Що робити

Architect and implement AI features end-to-end—from technical design through to production launch.
Integrate LLMs and external AI APIs, handling streaming, structured outputs, retries, fallback strategies, and function/tool calling.
Build and optimize RAG systems for private data (ingestion pipelines, chunking strategies, embeddings, vector search, and reranking).
Develop AI agents and multi-step workflows utilizing tools, MCP (Model Context Protocol), or Agents SDKs.
Establish AI evaluation (evals) and monitoring tools, implement guardrails, and control for performance, speed, cost, and security.

Production experience with Python and/or TypeScript developing backend services and APIs (FastAPI or Node.js).
Hands-on experience integrating major LLM APIs (OpenAI, Anthropic, Gemini, Bedrock, or similar), including streaming, structured output, retries, and tool/function calling.
Practical production experience with prompt engineering and RAG architecture (chunking, embeddings, vector databases, retrieval, and reranking).
Experience developing AI agents, multi-step agent workflows, MCP, or function-calling systems.
Proven track record with AI evaluations, monitoring, guardrails, latency/cost optimization, testing, Git, and CI/CD pipelines.

Work from Anywhere (Fully Remote): Setup your workspace wherever you feel safest, happiest, and most productive.
Control Your Day: Structure your working hours around your lifestyle and team syncs.
Time to Recharge: 20 paid day-offs per year + 11 official public holidays in Ukraine.
5 fully paid sick days: no questions asked, so you can focus entirely on recovering when you're under the weather.
Master your English with company-sponsored English courses, ensuring you feel perfectly confident collaborating with our clients.

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