Staff Ai Engineer

GE HealthCare UK

United Kingdom
Hybrid
Generative ai / llms
Rag-based systems
Python backend services and apis
Build and deploy production-grade Generative AI systems in a MedTech environment, working closely with stakeholders to translate real-world workflows into scalable AI-powered applications

Job Summary

  • Build and deploy production-grade Generative AI systems in a MedTech environment, working closely with stakeholders to translate real-world workflows into scalable AI-powered applications.
  • Design, build, integrate, and operate LLM-based systems including RAG, Knowledge Graphs, Graph RAG, and Agentic AI workflows, deploying them on AWS using SageMaker and Bedrock.
  • Own solutions in production, including monitoring, debugging, and continuous improvement, while ensuring secure access, governance, logging, and monitoring aligned with enterprise and healthcare requirements.

Matching Summary

Build and deploy production-grade Generative AI systems in a MedTech environment, working closely with stakeholders to translate real-world workflows into scalable AI-powered applications.

Skills & Requirements

Must-have

  • Generative AI / LLMs
  • RAG-based systems
  • Python backend services and APIs
  • AWS SageMaker and Bedrock
  • CI/CD and MLOps practices
  • System design fundamentals

Nice-to-have

  • Work effectively in ambiguous environments
  • Strong problem solving abilities
  • Articulate technical topics clearly
  • Global team collaboration
  • Mentoring team members

Key Requirements

  • Bachelor's Degree in Computer Science or STEM
  • Basic experience required
  • Work authorization not specified

Work Rights

Not specified

Tailored Resume

Cover Letter