AI Engineer (m/f/n)
Shimi Sp. z o.o.
urrently, for one of our Partners, we are looking for an experienced AI Engineer (m/f/n) to support a new project delivered for a US-based enterprise environment.
The project focuses on building agentic workflows for a production LLM and deterministic Python-based tax pipeline.
Scope of duties:
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.
Requirements
Software engineering experience: commercial experience in backend/software development.
Agentic workflows development: at least 1 year.
Enterprise API integration experience: practical experience with real production systems.
Python development with asyncio.
Typed data validation and settings management with Pydantic.
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.
Distributed in-memory data stores, e.g. Redis / Redis Stack.
Containerization with Docker.
English: 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.
Offer
Contract: B2B via SHIMI Poland.
Type of work: remote.
Rate: up to 175 PLN/h net + VAT.
Private medical care and sportscard.