GenAI Data Engineer

Location: 100% remote work (Poland)
Availability: ASAP / within 1 month 
Contract Type: B2B via Experis

Responsibilities

• 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

Requirements

• 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

Offer

• Multisport card

• Private healthcare (Medicover)

• Access to an e learning platform

• Group life insurance