Senior Ai Application Engineer, Enterprise Ai

GE HealthCare UK

Base: 234,400.00pln-322,300.00pln annually; bonus:...
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Python and typescript proficiency
React or next.js frontend development
Fastapi or flask backend services
** GE HealthCare is seeking a Senior AI Application Engineer to join their Enterprise AI team, focusing on the development of AI-powered solutions that drive business impact. The role requires expertise in machine learning, software engineering, and collaboration across multidisciplinary teams. **

Job Summary

  • The role involves designing and delivering innovative GenAI and Agentic AI solutions that drive measurable business impact across Finance, Supply Chain, and Manufacturing.
  • Candidates will own the full software development lifecycle while integrating machine learning models into scalable enterprise applications with intuitive user interfaces.
  • The position offers a comprehensive benefits package including health coverage, retirement plans, and flexible working arrangements aligned with performance incentives.

Matching Summary

Match Score: 75

** GE HealthCare is seeking a Senior AI Application Engineer to join their Enterprise AI team, focusing on the development of AI-powered solutions that drive business impact. The role requires expertise in machine learning, software engineering, and collaboration across multidisciplinary teams. **

Salary

Base: 234,400.00PLN-322,300.00PLN annually; Bonus: Performance bonus details shared during offer discussions; Benefits: Comprehensive package including health, retirement, and allowances

Skills & Requirements

Must-have

  • Python and TypeScript proficiency
  • React or Next.js frontend development
  • FastAPI or Flask backend services
  • RAG pipelines and vector databases
  • AWS Bedrock or Azure OpenAI integration
  • Docker and Kubernetes containerization
  • CI/CD automation for AI workloads

Nice-to-have

  • LangChain and LangGraph frameworks
  • AutoGen and Semantic Kernel experience
  • Mentoring junior engineers
  • Cross-functional collaboration skills
  • Prompt optimization workflows

Key Requirements

  • Master's degree in Computer Science or related STEM field
  • Hands-on experience deploying AI applications in enterprise environments
  • Deep expertise in LLMOps and model evaluation patterns

Work Rights

Not specified

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