AI Engineer (m/f/n)

Currently, 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.