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Senior GenAI Data Engineer

Poland, Warsaw B2B · Job Posted June 04, 2026
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Job Description

In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced GenAI Data Engineer to join the AI Development team.

Job Responsibility

  • Design and implement RAG pipelines (data retrieval, processing, and output storage)
  • Build solutions leveraging LLMs for data classification and processing
  • Develop and enhance AI agents (multi-agent workflows, orchestration, tool-use, memory)
  • Implement agent integrations (A2A, MCP, integrations with tools and APIs)
  • Develop and optimize data pipelines (ETL, ingestion, processing)
  • Design and implement mechanisms for: prompt engineering, model evaluation and guardrails
  • Deploy and maintain GenAI solutions in the Azure environment
  • Collaborate with Data/ML/Product teams in the project-based setup

Requirements

  • 6+ YoE, strong proficiency in Python (LLM integration, data pipelines)
  • Hands-on experience with: RAG pipelines, LLM-based classification and AI agent development
  • Good understanding of the GenAI ecosystem: prompt engineering, model evaluation, guardrails, memory & tools
  • Experience with the Azure AI stack: Azure AI Search, Cosmos DB, Azure AI Foundry / model deployment
  • Experience with Databricks (Mosaic AI / Agent Framework)
  • Ability to work in production environments (scaling, monitoring, optimization)
  • Very good English skills

Nice to have

  • Knowledge of GCP in the context of data engineering: ETL / ingestion, pipeline orchestration
  • Experience in multi-cloud projects
  • Experience in cost and performance optimization of GenAI solutions

What we offer

  • Remote working model
  • Collaboration with senior engineers and cross-functional AI teams
  • Dynamic and innovation-driven engineering environment
  • Full-time job agreement based on b2b
  • Private medical care with dental care (covering 70% of costs)
  • Multisport card (also for an accompanying person)
  • Life insurance

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