Senior Staff AI Application Engineer
GE HealthCare (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 45–70 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and architect GE HealthCare's internal AI engineering platform including shared libraries, interfaces, code generation tools, and automated verification systems used by data scientists for production AI delivery.
- Lead hands-on development of key platform components — agent execution layer, secure data resolution, configuration-driven UI — ensuring backward compatibility and migration support across evolving applications.
- Design and enforce automated engineering standards to prevent runtime failures, manage versioning, and maintain reliability, security, and compliance at scale without heavy manual review.
Minimum Requirements
- Bachelor's degree in Computer Science, Software Engineering or related field, or equivalent practical experience.
- Minimum 8 years professional software engineering experience with demonstrable ownership of shared libraries, frameworks, SDKs, or internal platforms depended upon by engineering teams.
- Expert Python and strong TypeScript skills; experience with API design/versioning, relational databases and CI/CD pipelines.
- Hands-on experience with multiple AI agent frameworks (e.g., LangGraph, LangChain, AWS Bedrock AgentCore) and substantial production experience with LLM systems; strong knowledge of major public cloud (ideally AWS).
Ideal Candidate Profile
- Senior-level engineer with deep experience building and maintaining internal platforms or SDKs critical to other engineering teams, not just application development.
- Strong architect with ability to define machine-readable interfaces and design for long-term maintainability and backward compatibility under evolving dependencies.
- Experienced in cross-team collaboration and able to communicate technical trade-offs effectively to executives, security/risk teams, and data scientists.