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Open nowPosted 93 days ago

AI Engineer

chabre42 open roles

Where
Warszawa
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Your applicationOpen nowAI Engineerchabre · Warszawa

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 93 days ago

The posting

Working as an AI Engineer you will:

  • Design and deploy LLM-based agents focused on planning and rollover tasks for a deterministic tax processing system.
  • Connect intelligent agents to internal enterprise applications utilizing REST APIs and Model Context Protocol (MCP).
  • Create scalable agent-to-agent (A2A) solutions capable of plugging directly into advanced, stateful orchestrators like LangGraph.
  • Develop and optimize automated, Python-driven workflows within a live production environment.

Must-haves:

  • At least 1 year of commercial experience in creating Agentic workflows combined with solid enterprise-grade API integration skills.
  • Advanced proficiency in Python, including asyncio, Pydantic for data validation, FastAPI, and testing tools like pytest.
  • Proven track record of constructing LLM agents, focusing on structured outputs, multi-agent architectures, tool calling, and managing latency and costs (using frameworks like the Claude Agent SDK).
  • Hands-on experience with Model Context Protocol (MCP) for setting up and consuming tool servers.
  • Deep understanding of LangGraph for stateful orchestration, including handling human-in-the-loop workflows, durable checkpoints, and A2A communication protocols.
  • Solid background in enterprise REST integrations, specifically utilizing secure authentication methods like OAuth2 and SSO (e.g., Azure AD).
  • Familiarity with containerization (Docker) and fast in-memory data storage solutions (Redis / Redis Stack).
  • Excellent Polish and English skills (at least C1 level).

Nice-to-haves:

  • Knowledge of system observability and tracing tools (OpenTelemetry, Datadog, Langfuse).
  • Experience with Azure cloud infrastructure, including blob storage and managed search.
  • Familiarity with LLM evaluation techniques (e.g., LLM-as-a-judge) and spec-driven development.
  • Prior exposure to the tax and accounting sector or existing familiarity with the client's internal technological ecosystem.

Our client is a globally recognized leader in professional services, financial consulting, and auditing. They focus on delivering innovative, technology-driven solutions to complex business challenges on a massive scale. By joining their team, you will contribute to an organization that heavily invests in secure, cutting-edge AI transformations tailored for the enterprise sector.

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