Senior Data Engineer (Python / GenAI)

📍 Location: Kraków, Poland (hybrid: 2 days in the office, 3 days remote)

📄 B2B Contract: 210 – 260 PLN / hour

We are looking for a proactive Senior Data Engineer (Python / GenAI) to join an international team building advanced data integration and retrieval solutions powering Generative AI across the organization. You will work closely with Engineers, Architects and AI Specialists to design, build and optimize data flows that directly support AI agents, RAG pipelines and large‑scale GenAI applications.

This role sits within a collaborative engineering environment and offers the opportunity to influence architecture, development standards and the overall quality of next‑generation AI‑driven systems.

Key Responsibilities:

• Design and develop data integration components enabling GenAI models to access and process data from multiple internal systems.

• Build and maintain data transfer pipelines ensuring scalability, reliability and security.

• Develop Python‑based microservices (FastAPI) integrated with broader GenAI platforms.

• Work with vector stores, memory stores and RAG pipelines to optimize data retrieval and context generation for AI agents.

• Collaborate with cross‑functional teams to align data integrations with overall GenAI architecture.

• Implement monitoring, observability and performance tuning for data services.

• Participate in Agile ceremonies: sprint planning, reviews, retrospectives and daily stand‑ups.

Requirements:

• 5+ years of experience in software or data engineering with strong focus on Python.

• Hands‑on experience with FastAPI, microservices and API‑driven architectures.

• Experience with databases and data platforms such as MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst or similar.

• Understanding of vector stores, embeddings or semantic search concepts.

• Experience working with cloud platforms (GCP or Azure).

• Solid understanding of Unix/Linux environments.

• Strong debugging skills and ability to clearly communicate findings.

Nice to Have:

• Experience with RAG pipelines, context engineering or evaluation systems.

• Knowledge of Google ADK or similar AI development toolkits.

• Experience with memory stores or caching systems.

• Exposure to GenAI platforms, LLM‑based solutions or AI agents.

• Familiarity with DevOps practices and CI/CD pipelines.

What We Offer:

• Long‑term cooperation within a high‑impact, innovative AI programme.

• Real influence on architecture, engineering standards and data integration strategy.

• Work in a multicultural, distributed environment.

• Private medical care (LuxMed) and Multisport card.

• Stable B2B contract with competitive hourly rate.