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November 4, 2026
AI Agent Engineer
Mid • On-site
Warsaw, Poland
Quick Facts
Focus: agentic AI, RAG, and LLM models for improving software development and maintenance
Description
You will co-create modern AI solutions using agentic AI, RAG, and LLMs to streamline software engineering processes. Responsibilities include designing and deploying agentic AI systems, building RAG architectures for organizational knowledge, and integrating AI models with enterprise applications and DevOps processes. You will also prototype, create Proof of Concept solutions, and collaborate with engineering teams to deliver production-ready value.
Responsibilities
Design, develop, and deploy agentic AI solutions
Create and evolve RAG architectures to leverage organizational knowledge effectively
Build AI agents supporting software development and maintenance processes
Integrate AI models with applications, APIs, developer tools, and DevOps workflows
Create prototypes, Proof of Concepts, and production-ready solutions
Collaborate with developers, architects, and teams responsible for software quality
Identify areas where AI can deliver real improvements and business value
Requirements
Very strong Java knowledge and experience in commercial software development
1–2+ years of practical experience designing, building, and deploying AI agents or advanced LLM-based automations
Practical experience building agentic AI solutions
Experience designing and implementing RAG solutions
Practical knowledge of LangChain4j
Experience using Langfuse for monitoring, observability, and evaluation of AI applications
Ability to integrate AI models with enterprise applications and systems
Knowledge of SDLC, CI/CD, code review, and automated tests
Ability to rapidly prototype, experiment, and validate new solutions
Knowledge of the MCP protocol
Benefits
Interesting challenges and collaboration with experienced IT professionals
Work with modern IT technologies
Engaging projects
Friendly, supportive culture
Values-driven culture: community, simplicity, customer focus, responsibility, and trustworthiness
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