GE Vernova · KA, India
Skills: TypeScript, Python, Java, AWS
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…
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