GenAI Data Engineer

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

• Strong proficiency in Python including LLM integration and data pipelines
• Hands-on experience with RAG pipelines, LLM-based classification, and AI agent development
• Good understanding of the GenAI ecosystem including prompt engineering, model evaluation, guardrails, and memory & tools
• Experience with Azure AI stack including Azure AI Search, Cosmos DB, and Azure AI Foundry or model deployment
• Experience with Databricks including Mosaic AI or Agent Framework
• Ability to work in production environments including scaling, monitoring, and optimization

Nice to have:

• Knowledge of GCP in the context of data engineering including ETL, ingestion, and pipeline orchestration
• Experience working in multi-cloud environments
• Practical experience in cost and performance optimization of GenAI solutions

• Design and implement RAG pipelines including data retrieval, processing, and storage of results
• Build solutions using LLMs for classification and data processing
• Develop and enhance AI agents including multi-agent workflows, orchestration, tool usage, and memory
• Implement agent integrations including A2A, MCP, and integrations with tools and APIs
• Develop and optimize data pipelines including ETL, ingestion, and processing
• Design and implement prompt engineering, model evaluation, and guardrails mechanisms
• Deploy and maintain GenAI solutions in Azure environments
• Collaborate with Data, ML, and Product teams in a project-based model

Location: 100% remote work (Poland)