
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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