Software Engineer - AI Automation

GE Healthcare GE Healthcare · Healthcare · Bengaluru, Karnātaka, India · Digital Technology / IT

Software Engineer focused on developing and applying AI-assisted test automation and analysis solutions for patient monitoring systems within a regulated medical device quality environment. The role involves designing RAG models, agent workflows, and multi-step reasoning models, integrating LLMs into applications, and applying AI for root cause analysis and test selection to accelerate verification cycles.

What you'd actually do

  1. Contribute to building and enhancing AI‑assisted test selection and impact analysis mechanisms to help reduce verification cycle time.
  2. Designing RAG models, agent workflows, and multi-step reasoning models.
  3. Build agentic automation solutions to streamline verification and validation process.
  4. Unstructured data analysis, Integrating ML/GenAI models and LLM orchestration into end-user AI applications.
  5. Apply AI and data‑driven techniques to log analysis, Reliability test reporting, and failure analysis, helping reduce time needed for go/no‑go release decisions.

Skills

Required

  • Python
  • Java
  • automation frameworks
  • ML libraries
  • data analysis tools
  • deep learning frameworks
  • AI for quality
  • data analysis
  • LLM & Prompt engineering
  • software testing concepts
  • CI/CD fundamentals
  • AI/ML techniques (classification, anomaly detection, NLP, or similar)

Nice to have

  • medical imaging or healthcare AI domain
  • analytical skills
  • problem-solving skills
  • data interpretation skills

What the JD emphasized

  • regulated medical device quality environment
  • in compliance to QMS
  • AI for quality

Other signals

  • AI-assisted test automation
  • RAG models
  • agent workflows
  • multi-step reasoning models
  • agentic automation solutions
  • Integrating ML/GenAI models and LLM orchestration
  • AI-based root cause analysis