Agentic AI Engineer

Technologies we use

About the project

Your responsibilities

• Build and orchestrate autonomous AI agents using frameworks such as AutoGen/AG2, ADK or equivalents; familiarity with low-code tools (e.g. Langflow) is a plus.
• Implement and integrate agent tools (e.g. web search, MCP-based tools).
• Lead migration from external LLM APIs to locally hosted LLMs, with strong focus on performance and reliability.
• Design and maintain evaluation and monitoring for agent performance.
• Handle complex, heterogeneous document parsing (e.g. with Docling) and connect it to downstream agents.
• Implement on-prem RAG and advanced RAG pipelines, including visual document query and multimodal retrieval.
• Build solutions with bilingual support by design (Polish & English).
• Define and measure validation metrics, verify agents with target users, and iterate based on feedback.
• Use code generation tools (e.g. Codex, Tabby) to accelerate development.
• Architect, deploy and maintain end-to-end agentic LLM solutions on self-hosted and hybrid local/cloud environments.
• Own the full lifecycle: POC → production → maintenance → decommission.
• Use Git, GitLab, Azure DevOps and Docker for pipeline automation, CI/CD and reproducible builds.
• Implement and operate open-source and proprietary LLMs hosted in the cloud and on-prem.
• Instrument and monitor agents and models with Langfuse or equivalent observability tooling.
• Design solutions with compliance by design: GDPR, EU AI Act, and potential IVDR/MDR / FDA-equivalent requirements.
• Ensure robust secrets management, secure credential handling and environment configuration.
• Work in cross-functional teams (engineering, product, domain experts); Scrum/Kanban experience is a plus.
• Produce clear technical documentation; experience with IVDR/MDR / FDA-equivalent product documentation is an advantage.
• Define KPIs, run A/B tests and systematically validate model performance.

Our requirements

• 3+ years of hands-on experience in generative AI, mainly text; audio/image experience is a plus.
• Proven experience with agentic frameworks – ideally POC agents built with AutoGen/AG2 (or similar frameworks).
• Experience hosting open-source LLMs locally; multi-GPU deployments are a strong plus.
• Solid background in unstructured document processing & retrieval; enterprise document experience is a plus.
• Strong Python skills.
• Experience with Git-based workflows, Docker and CI/CD (GitLab, Azure DevOps).
• Familiarity with Azure AI/ML services is a plus.
• Ability to work in English; Polish is a strong plus given the bilingual nature of our solutions.

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