AI Engineer (m/f/n)

SHIMI Sp. z o.o.

• Commercial software engineering experience in backend/software development.
• At least 1 year of experience in agentic workflows development.
• Practical experience with enterprise API integration with real production systems.
• Python development experience with asyncio.
• Typed data validation and settings management with Pydantic.
• Experience with async web/API frameworks, especially FastAPI.
• Automated testing with pytest and pytest-asyncio.
• Building LLM agents including tool calling, structured outputs, multi-agent/sub-agent patterns, and cost/latency control.
• Experience with a mainstream LLM agent framework, e.g. Claude Agent SDK.
• Building and consuming agent tool servers using Model Context Protocol / MCP.
• Graph-based stateful orchestration with LangGraph, including workflow nodes, human-in-the-loop interrupts, and durable checkpointing.
• Experience with agent-to-agent / A2A protocols.
• Enterprise REST integration with OAuth2 / SSO (e.g. Azure AD).
• Experience with distributed in-memory data stores, e.g. Redis / Redis Stack.
• Containerization with Docker.
• English language proficiency at level C1.

Nice to have:

• Observability experience with OpenTelemetry, Datadog, or Langfuse LLM tracing.
• Cloud services experience, especially Azure Blob Storage or managed search.
• Experience with LLM evaluations, including LLM-as-judge.
• Spec-driven development experience.
• Tax or accounting domain knowledge.
• Previous experience working within large enterprise ecosystems.

• Building planning and rollover agents for a production LLM and deterministic Python-based tax pipeline.
• Integrating AI agents with enterprise applications via REST APIs.
• Building and consuming agent tools using Model Context Protocol / MCP.
• Delivering an agent-to-agent / A2A-pluggable agent for an enhanced graph-based orchestrator.
• Working with LangGraph-based orchestration, including workflow nodes, human-in-the-loop interrupts, and durable checkpointing.
• Implementing structured outputs, tool calling, and multi-agent/sub-agent patterns.
• Optimizing agent workflows for cost and latency.
• Developing automated tests for async Python services and agent workflows.
• Supporting integration with enterprise authentication mechanisms such as OAuth2 / SSO.
• Cooperating with technical stakeholders in an international, English-speaking environment.