Senior AI Applications Engineer
GE HealthCare (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain GE HealthCare's internal AI engineering framework including reusable libraries, code generation tools, and automated verification to enable rapid, secure AI production.
- Build selected end-to-end AI applications as pilots and reference implementations to validate platform capabilities.
- Continuously evolve shared platform components ensuring semantic versioning, backward compatibility, and adherence to engineering standards through automation.
Minimum Requirements
- Bachelor's degree in Computer Science, Software Engineering, IT, or equivalent practical experience.
- Strong proficiency in Python with static type checking and runtime validation; working knowledge of TypeScript and modern front-end frameworks (React, Vue, Angular).
- Experience integrating large language models into production with agent frameworks and evaluation of non-deterministic AI systems using automated frameworks.
- Familiarity with containerization (Docker), major cloud services (preferably AWS), infrastructure-as-code tools (Terraform, Pulumi, CloudFormation), and HTTP API design with strong experience in version control and CI/CD pipelines.
Ideal Candidate Profile
- Experienced in balancing full-stack application development with platform and tooling engineering to enable other engineers and data scientists.
- Skilled in building automation and strict validation tooling over documentation to enforce standards and accelerate deployment.
- Practiced at maintaining long-lived shared platforms with strong emphasis on semantic versioning, automated compatibility tests, and progressive capability ownership based on real use cases.