Sr. Software AI Engineer
GE Vernova (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead development of AI Agents and Model Context Protocol (MCP) servers to standardize data connectivity, skills, and tools within AI-native applications.
- Drive end-to-end delivery of medium-to-large AI features including design, implementation, testing, and production support.
- Collaborate with internal teams and external contractors to conduct technical reviews, integrations, and establish testing and observability for AI models and prompts.
Minimum Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
- Minimum 4 years of experience programming in Python (preferred), Java, or Go with front-end experience in JavaScript/TypeScript.
- Proven experience shipping production applications incorporating large language models (LLMs), MCPs or AI services at scale.
- Experience with cloud platforms (AWS) and advanced containerization technologies (Docker, Kubernetes).
Ideal Candidate Profile
- Experienced in building and integrating AI-native applications with generative AI capabilities, retrieval-augmented generation (RAG), and context management.
- Capable of leading technical direction and independently driving medium-to-large AI feature delivery.
- Familiar with multiple AI orchestration frameworks (e.g. Amazon Bedrock AgentCore, LangChain) and containerized cloud software development.