Senior AI Engineer

Experis Manpower Group

Wrocław, DS, Poland • 2h ago • On-site

Senior

On-site

130 - 140 PLN/yr

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Potential salary for Senior AI Engineer role

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PLN 130 – PLN 140/year

Quick Facts

  • Role: Senior AI Engineer
  • Work mode: Hybrid (2 days from the office / week)
  • Location: Wrocław, Poland

Description

Design and implement AI-powered capabilities for an enterprise Dev Team Assistant (DTA) platform. You will develop agent-based workflows, improve platform performance and reliability, and help define long-term AI architecture while integrating new assistants and AI services.

Responsibilities

  • Design and implement AI-powered capabilities within the DTA platform
  • Develop and improve agent-based workflows and orchestration patterns
  • Improve performance, reliability, observability, and scalability
  • Own key technical decisions and shape long-term AI architecture
  • Integrate new assistants and AI services to expand the platform ecosystem
  • Contribute to DevSecOps practices and engineering excellence
  • Act as a senior technical contributor and sparring partner

Requirements

  • Several years of professional software engineering experience with strong Python skills
  • Proven experience building production-grade AI solutions
  • Hands-on experience with several of: LLM applications, RAG architectures, agent-based systems
  • Hands-on experience with LangGraph and/or LangChain
  • Experience evaluating and optimizing AI assistants
  • Experience with Azure OpenAI and Azure Web Apps
  • Experience with FastAPI
  • Communicative, proactive, and transparent approach
  • Comfort with emerging technologies and solving complex problems without established playbooks

Nice to Have

  • Frontend development experience with React and TypeScript
  • Understanding of DevOps practices (pipelines, CI/CD, test automation, application security, cloud, networking, Terraform)
  • Solid experience working with Microsoft Azure in a controlled environment

Benefits

  • Scale an enterprise AI platform from pilot to full organization-wide rollout
  • Direct influence over product strategy and long-term AI architecture
  • Collaborative agile team environment
  • Culture emphasizing transparency, curiosity, knowledge sharing, and mutual support

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