Staff AI Software Engineer
GE Vernova (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, development, and full lifecycle of AI Agents and MCP servers to standardize data connectivity, skills, and tools.
- Own end-to-end delivery from design, coding, testing, to production support ensuring scalable, secure agentic workflows integrated with enterprise systems.
- Partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution, utilizing Coding Agents and Eval Driven Development.
Minimum Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
- 6+ years of experience in general purpose programming languages (Python preferred, Java or Go also accepted) plus front-end experience with JavaScript/TypeScript.
- Proven experience shipping AI/LLM-based production applications at scale and leading technical teams including vendor/contractor oversight.
- Strong hands-on experience with AWS cloud platform, containerization technologies like Docker and Kubernetes, plus solid knowledge of code review and QA processes.
Ideal Candidate Profile
- Experienced in building AI-native applications integrating LLM/generative AI features with context and memory management (RAG techniques).
- Demonstrated ability to drive technical direction and independently deliver medium-to-large AI features across stack including front-end frameworks (React, Vue, or Angular).
- Familiar with advanced AI orchestration frameworks (e.g. Amazon Bedrock AgentCore, LangChain), vector databases (pgvector), and scaling AI-powered features for large user bases (100k+).