AI Backend Engineer (GenAI)

Quick Facts

• Role: AI Backend Engineer (GenAI)

• Location: Kraków (hybrid; ~6 days/month on-site)

• Focus: Backend engineering for enterprise Generative AI, agents, and evaluation

Description

Work on enterprise-scale Generative AI solutions where GenAI models and AI agents can access data from multiple systems. Build microservices/APIs, data transfer pipelines, and agentic or multi-agent capabilities with emphasis on RAG, memory stores, and context engineering. Contribute to the evaluation and testing of agentic and multi-agent systems.

Responsibilities

• Develop backend solutions for Generative AI and AI agents

• Create agents that source data from various systems

• Build microservices and APIs integrated with GenAI solutions

• Build data transfer pipelines

• Work with RAG, memory stores, and context engineering

• Contribute to development and evaluation of agentic and multi-agent systems

• Ensure quality, reliability, and scalability of solutions

Requirements

• Strong commercial experience in backend software engineering

• Very good knowledge of Python, including FastAPI

• Experience developing microservices and REST APIs

• Hands-on experience with GenAI/LLM-based solutions

• Experience or understanding of AI agents, multi-agent systems, RAG, and context engineering

• Experience with databases and data technologies such as MongoDB, PostgreSQL, vector stores, Hadoop, Starburst, or GCP BigQuery

• Experience with cloud environments, particularly Google Cloud Platform or Azure

• Familiarity with Google ADK, memory stores, and evaluation systems (advantage)

• Good understanding of automated testing and software quality

• Openness to working with evaluation and testing of AI agents

• English allowing comfortable work in an international environment

Benefits

• B2B cooperation model

• LuxMed private healthcare

• MyBenefit cafeteria

• Hybrid working model: ~6 days/month from the Kraków client office

• Opportunity to work on enterprise-scale GenAI solutions

• Hands-on exposure to AI agents, multi-agent systems, RAG, and AI evaluation

• Role combining backend software engineering with modern AI technologies