Senior AI Engineer: GenAI & LLM in Azure

VML Enterprise Solutions

Poznań

On-site

PLN 207,000 - 262,000

Full time

11 days ago

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Benefits offered by this job

Hourly rate 150-190 PLN net + VAT (B2B
Career development opportunities
Private medical care
Flexible working arrangements

Job summary

WPP Enterprise Solutions in Poznań, Poland, is seeking a Senior AI Engineer to design, implement, and operate production-grade AI agents within Azure environments. The role emphasizes LLM integration, RAG, context retrieval, and secure, scalable AI services.

You will collaborate with the Solution Architect and Technical Lead, focusing on prompt engineering, tool calling, and creating robust evaluation frameworks and golden datasets for quality assurance.

Qualifications

  • strong hands-on experience with LLMs / Generative AI and AI agents
  • experience building RAG and retrieval-based AI solutions
  • experience with Azure AI services and enterprise Azure environments
  • understanding of AI security, observability and production reliability
  • ability to work closely with architects and engineers and contribute directly to implementation and technical decisions
  • English fluency (at least B2)

Responsibilities

  • prompt engineering, structured outputs and tool calling
  • build evaluation frameworks, golden datasets and automated quality testing for LLM solutions
  • design and implementing agent orchestration and AI workflows
  • backend/API development and integration with enterprise systems

Skills

LLMs / Generative AI
AI agents
Prompt engineering
English proficiency

Tools

Azure AI services
Enterprise Azure environments

Job description

WPP Enterprise Solutions in Poznań, Poland, is seeking a Senior AI Engineer to design, implement, and operate production-grade AI agents within Azure environments. The role emphasizes LLM integration, RAG, context retrieval, and secure, scalable AI services.

You will collaborate with the Solution Architect and Technical Lead, focusing on prompt engineering, tool calling, and creating robust evaluation frameworks and golden datasets for quality assurance.

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