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Location
In office (Bengaluru)
Seniority
Senior · 4+ years exp
Visa
Sponsors visas in United States, United Kingdom, Ireland; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 5, 2026. GE Vernova scores B on the Alion truth index.

Overview
Company
Impact
Profile match
GE Vernova is an American energy company created in April 2024 when General Electric split into three, taking the power, wind and electrification businesses. It builds and services gas turbines that generate a substantial share of the world's electricity, onshore and offshore wind turbines, grid equipment including transformers and high-voltage transmission, and nuclear technology through GE Hitachi and its BWRX-300 small modular reactor. Headquartered in Cambridge, Massachusetts, the company sits at the centre of two simultaneous demand shocks: the electrification of transport and industry, and the electricity requirements of large-scale artificial intelligence data centres.

Job Description Summary

Responsible for programing a component, feature and or feature set. Works independently and contributes to the immediate team and to other teams across business. You will also contribute to design discussions.

Job Description

Roles and Responsibilities

  • 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.
  • Required Qualifications & Skills
  • 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).

Additional Information

Relocation Assistance Provided: Yes

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