Sr AI Engineer

About this role

## Job highlights

• 3-4 years of professional experience in AI / ML engineering,NLP or data engineering,with at least one production LLM or RAG system shipped. . Bachelors or Masters degree in Computer Science,AI,Data Science or a related field,or equivalent experience. . Hands-on ontology work: modeling with OWL,RDF / RDFS and SKOS,querying with SPARQL,and tools such as Prot g .
• Required qualifications

">Sr AI Engineer

4-6 Years Bengaluru

• AIML
• GEN AI
• RAG
• LLM
• NLP
• CI/CD
• Graph Store
• ontology

Role overview

We are hiring a Senior AI Engineer to design domain ontologies and knowledge graphs and connect them to production Retrieval-Augmented Generation (RAG) systems. You will turn messy business knowledge into structured, queryable models that make our LLM applications more accurate, explainable and grounded.

Key responsibilities

Ontology and knowledge modeling

• Design, build and maintain domain ontologies and taxonomies (classes, properties, relationships, constraints) in OWL/RDF or property-graph models.
• Work with business and domain experts to capture concepts, resolve ambiguity and keep a shared vocabulary.
• Build and evolve knowledge graphs, including entity extraction, entity resolution and linking from structured and unstructured sources.
• Define versioning, governance and validation rules (for example, SHACL) so the ontology stays consistent as it grows.

RAG and LLM systems

• Design and ship end-to-end RAG pipelines: ingestion, chunking, embeddings, indexing, retrieval, re-ranking and generation.
• Combine vector search with knowledge-graph retrieval (GraphRAG / hybrid retrieval) to improve answer accuracy and traceability.
• Use the ontology to drive metadata enrichment, query expansion and filtering in retrieval.
• Engineer prompts and context assembly, and add guardrails against hallucination and data leakage.

Evaluation, production and collaboration

• Set up offline and online evaluation for retrieval...