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Chabre IT Services is a global IT services provider delivering tailor-made solutions, strong outsourcing, try&hire models, and enterprise-grade AI transformations. We seek a skilled developer to design and deploy LLM-based agents for tax processing, integrating with REST APIs and MCP, and building scalable A2A workflows in a live production environment.
The ideal candidate has 1+ year of experience with agentic workflows, Python, and LangGraph, with excellent Polish and English skills.
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.
Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions, smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality.
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.
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).
Nice-to-haves: