AI Agent Engineer

Be in IT is a recruitment company specializing in IT. The recruiter has been active in the IT recruitment industry since 2016 and has been running their own recruitment company since 2021. They focus on comprehensive support for clients' IT technology needs and emphasize creating precise and comprehensive job offers. The recruiter holds a certificate from the National Register of Employment Agencies (number 27663).

• Minimum 4 years of experience in Python (production environment).
• Very good knowledge of asynchronous programming (asyncio, race conditions, concurrency).
• Experience working with LLM (function calling, prompt engineering, error analysis).
• Ability to design systems ensuring AI reliability (guardrails, validation, flow control).
• Practical knowledge of Pydantic v2.
• Experience testing nondeterministic systems (scenario tests, quality metrics).
• Experience with AI tools (e.g., Claude Code, Cursor, Copilot).
• Independence and ownership—leading solutions from design to deployment.

Nice to have:

• LangGraph or similar orchestration tools.
• Experience with Voice AI (e.g., Deepgram, Whisper, ElevenLabs).
• Knowledge of MCP (Model Context Protocol).
• Experience with Datadog, LangSmith, OpenTelemetry.
• Experience with DeepEval or other evaluation frameworks.
• Docker, Kubernetes, AWS.
• Experience in a startup environment.

• Designing and developing AI agent workflows using LangGraph (StateGraph).
• Building and optimizing state logic, transitions, and decision paths.
• Implementing guardrails for LLM (detecting hallucinations, errors, missing sequences).
• Creating tools invoked by LLM (async Python, Pydantic, retry logic, error handling).
• Designing and maintaining prompts and YAML templates with dynamic context.
• Developing and maintaining an evaluation framework (scenario tests, quality metrics).
• Integrating systems (MCP: HTTP/SSE, LiveKit RPC).
• Monitoring and optimizing performance (Datadog, LangSmith; latency <500 ms p95).
• Supporting voice pipeline (STT, TTS, VAD, echo detection).
• Debugging and improving agent behavior in production.