Job Description Summary As a Staff AI Engineer, you will lead the architecture, development, and end-to-end lifecycle of our AI Agents and the underlying infrastructure that powers it. You will design and deploy AI agents and robust MCP (Model Context Protocol) servers that standardize data connectivity, skills, and tools. You will also own the full stack, from design and clean code implementation to rigorous testing and production support. By balancing high-level system strategy with hands-on technical execution, you will ensure our agentic workflows are scalable, secure, and seamlessly integrated into the enterprise ecosystem. You will partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution. You will delivery using Coding Agents, establish testing approaches for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and clear business impact. If you are excited by this work but unsure whether you meet every requirement, we encourage you to apply. Job Description Responsibilities: Collaborate with cross-functional teams (product, design, operations, infrastructure) to build AI-native application experiences Build AI Agents, MCP Servers, Tools and integrate LLM / generative AI capabilities into products, including structured prompting, memory management and context management. Implement retrieval-augmented generation (RAG) patterns (e.g., embeddings + retrieval) and contribute to context-aware and personalized user experiences Drive end-to-end execution of medium-to-large features with independence, contribute to technical direction within the team Mentor engineers; guide contractors and partners. Required Qualifications: Bachelor’s degree in computer science, Computer Engineering, or related technical field 6+ years of experience using at least one general purpose programming language (Python [preferred], Java, or Go) and front-end experience with JavaScript/TypeScript Proven track record shipping production applications that incorporate LLMs, MCPs or AI services at scale Demonstrated experience leading technical teams and providing guidance to external contractors or vendors Strong experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (Docker, Kubernetes) Experience with technical oversight, code review processes, and quality assurance methodologies Preferred Qualifications: Experience in Cloud Software Development, including architecture design, technical leadership, and system optimization Experience with Strands, ADK or Agent development frameworks. Experience with multiple LLM providers and advanced AI orchestration frameworks (e.g. Amazon Bedrock AgentCore, LangChain) Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management Experience with vector databases (e.g. pgvector) and embedding model optimization Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale Experience building and scaling AI-powered features for 100k+ users Additional Information Relocation Assistance Provided: Yes Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World. www.gevernova.com

Staff AI Software Engineer.

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