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Job Description Summary
As a Sr. Software AI Engineer, you will drive the development of our AI Agents and the underlying infrastructure that powers it. You will implement AI agents and robust MCP (Model Context Protocol) servers that standardize data connectivity, skills, and tools. You will be involved from design to code implementation to rigorous testing and production support.

You will partner with internal teams and external contractors to lead technical reviews, integrations, and delivery execution. You will deliver 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

Required Qualifications:

Bachelor's degree in computer science, Computer Engineering, or related technical field
4+ 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
Experience with cloud platforms (i.e. AWS) and advanced containerization (Docker, Kubernetes)

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

Additional Information

Relocation Assistance Provided: Yes

About GE Vernova

GE Vernova is helping change the world. Be part a team driven by purpose, fueled by challenge, and united in shaping the future of energy, every day.

Size: 10,000+ employees
Industry: Engineering

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