Staff Software Engineer - AI/ML
GE Vernova · Posted Oct 7
Power generation, wind turbine, grid solution, and electrification services
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About the role
GE Vernova's Applications and Software (LPB) organization builds enterprise platforms and services for the energy and grid software domain. The team works on full stack and AI platform architecture, including microservices, REST APIs, and RAG and multimodal LLM features. As a Staff AI Engineer, this role leads enterprise full stack and AI platform architecture at scale across multiple initiatives, sets standards for AI-assisted development, and partners with globally distributed teams to accelerate adoption of AI into Grid SW services.
What you will do
- Identify and deliver reusable AI components for forward-deployed engineers.
- Ship resilient REST APIs and microservices.
- Build RAG and multimodal LLM features.
- Design agentic workflows for autonomous tasks.
- Mentor engineers and provide guidance to contractors and partners.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
- 10+ 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 or AI services at scale.
- Demonstrated experience leading technical teams and providing guidance to external contractors or vendors.
- Demonstrated experience of driving at least 5 projects with strong AI & ML engagement
- Strong experience with cloud platforms ( AWS or Azure) and advanced containerization (Docker, Kubernetes).
- Experience with technical oversight, code review processes, and quality assurance methodologies.
- Strong trouble shooting skills
- Good communication skills and prior experience of working with globally distributed teams
Preferred qualifications
- Experience in AI/ML, including architectural design, technical leadership, and system optimization.
- Having a master's degree or equivalent in AI is a plus.
- Experience with modern integration frameworks (SOAP, Rest, MuleSoft, ) 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.
Benefits and support
- Relocation Assistance Provided: Yes
About GE Vernova
GE Vernova Inc. is a global energy company that provides equipment, services, and software to generate, transfer, orchestrate, convert, and store electricity. Operating through its Power, Wind, and Electrification segments, the company supports a broad customer base across more than 100 countries in powering economies and driving the energy transition. Formed as part of the strategic spin-off of General Electric's energy portfolio, GE Vernova is dedicated to electrifying and decarbonizing the world.
- Industry
- Energy
- Company size
- 75000+ employees
- Founded
- 2024
- Location
- Cambridge, Massachusetts, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer and President
Stephen F. Angel
Chairman of the Board
Lola Lin
Chief Legal Officer and Secretary
Roger Martella
Chief Corporate Officer, Chief Sustainability Officer & Head of Global Government Affairs
Eric Gray
CEO, Power Segment
Recent coverage
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