Sr Software Engineer
GE Vernova · Posted Nov 5
Power generation, wind turbine, grid solution, and electrification services
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About the role
GE Vernova's Digital Engineering team is hiring a Sr Software Engineer to build an AI Context Layer that supplies business context, metadata, and constraints to LLM applications. The role works with semantic models, ontologies, knowledge graphs, graph databases, and hybrid search/RAG pipelines. It involves backend services, data ingestion/processing, and collaboration with ML engineers, data scientists, and backend developers to integrate semantic components into production AI products.
What you will do
- Build the AI Context Layer: Develop and maintain backend services and data pipelines that supply relevant business context, metadata, and constraints to LLM applications.
- Work with Semantic Models & Ontologies: Help implement, update, and query domain ontologies and taxonomies using standards like RDF, OWL, or SPARQL under the guidance of senior architects.
- Knowledge Graph Integration: Write code to interact with graph databases (e.g., Neo4j, AWS Neptune) to support semantic search and relationship mapping.
- Enhance Search & RAG Pipelines: Help build and optimize hybrid retrieval systems combining vector search (semantic similarity) with structured graph data for better LLM grounding.
- Data Pipelines: Write robust data ingestion and processing scripts to extract entities and relationships from various enterprise data sources.
- Collaboration: Partner with ML engineers, data scientists, and backend developers to integrate semantic components into production AI products.
- Code Quality: Write clean, testable, and well-documented code following best software engineering practices.
Skills used in this role
What the employer is looking for
- Experience: 4–6 years of software development experience, with at least 1–2 years working on data-heavy applications, NLP, vector search, or semantic/graph technologies.
- Programming: Strong backend development skills in Python (preferred for AI workflows) and/or Java/TypeScript.
- Databases & Storage: Experience working with relational databases and at least some exposure to NoSQL, vector databases (e.g., Pinecone, Milvus, Qdrant), or graph databases (e.g., Neo4j).
- Foundational Knowledge of Semantics/AI: Familiarity with concepts like knowledge graphs, vector embeddings, prompt engineering, or semantic web standards (RDF/OWL). We don't expect an ontology expert, but you should be eager to learn and work with them.
- API Development: Experience building and consuming RESTful APIs and microservices.
- Education: Bachelor’s degree in computer science, software engineering, or a related technical field (or equivalent practical experience).
Benefits and support
- Relocation assistance
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
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