As a Senior Staff AI Engineer, you’ll lead enterprise full stack and AI platform development at scale for multiple initiatives across the company. You’ll design and ship microservices and REST APIs, build RAG and multimodal LLM features, and set standards for AI-assisted development. You’ll own technical decisions end-to-end, balancing reliability, performance, and cloud cost for AI systems.
You’ll partner with internal teams and external contractors, mentor engineers, and run reviews and integrations. You’ll drive Agile practices, establish testing for prompts and model performance, and implement observability for AI features. We value autonomy, continuous learning, and measurable impact.
Responsibilities:
Design, Implement, Fix and Support AI Applications and Services.
Identify and deliver AI Reusable Services.
Ship resilient REST APIs and microservices.
Build RAG, Multimodal LLM features and Agents.
Design agentic workflows for autonomous tasks.
Mentor engineers and provide guidance to contractors and partners.
Maintain code quality through best practices, unit testing and code quality automation
Be responsible for providing technical leadership and defining, developing, and evolving software in a fast paced and agile development environment using the latest software development technologies and infrastructure
Required Qualifications:
Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
12-15 years of experience with 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, RAG, MCPs and 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:
Thorough experience in AI/ML, including architectural design, technical leadership, and system optimization.
Experience with modern front-end frameworks (React, Vue, or Angular) and advanced state management.
Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and embedding model optimization.
Experience with multiple LLM providers and advanced AI-orchestration frameworks (e.g. LangChain, LlamaIndex).
Experience with enterprise RAG architectures, semantic search optimization, and conversation memory management at scale.
Experience building and scaling AI-powered features for 100k+ users.
Relocation Assistance Provided: Yes
GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world.
It is made up of three businesses -- Power, Wind, and Electrification -- with focus on accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.
The world needs more energy, smarter energy. With energy demand expected to grow by more than 50% in the next 20 years, we are continuously innovating to meet the moment…like we have for the past 130 years. The Energy of Change and relentless optimism are what drive us – it’s about never giving up and seeing what’s possible so that we deliver the energy technologies the world needs right now and for generations to come.
GE Vernova’s attitude and edge is embedded in its name. We retain our treasured legacy, “GE,” 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.
