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AI Engineer with Ontology /Semantic Model
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- Company
- Saffroot Technologies LLP
- Location
- Anywhere in India
- Employment type
- Fulltime
- Experience
- 3-6
- Salary / budget
- Not specified
- Date posted
- 2026-09-22
- Notice period
- 30 days
- Skills
- RAG, Semantic Modeling and Standards Implementation, Ontology Engineering and Standards
Role overview
Job description
"""Knowledge Engineer – KMS Fusion AI Engineer (+ 5 yrs of experience) Design, maintain and validate ontologies, knowledge graphs, taxonomies, metadata models, and semantic frameworks for business domains. Configure and support knowledge ingestion pipelines, metadata extraction, entity resolution, and graph enrichment. Collaborate with SMEs and business teams to translate requirements into semantic models and graph structures. Enable RAG, AI Assistants, Semantic Search, and Agentic AI solutions through high-quality knowledge design. Work with Product, Platform Engineering, AI, and Consulting teams to onboard new domains and scale knowledge assets across multiple solutions. Required skills: AI Context Engineering, Translate research work into working solutions, Knowledge Graphs, Ontology Engineering and Standards (e.g. BFO, Fibo), Semantic Standards ( e.g. RDF, OWL, LPG, Cypher, SparQL) Graph Databases (e.g. Neo4j, GraphWise, StarDog), Semantic Modeling, AI/RAG Concepts, Python, JSON, API Integration, Agentic frameworks (e.g. LangGraph, Azure Agent Framework), Knowledge graph validation and testing (e.g. SHACL) Experience: Strong background in Data Science and AI Agentic Design Patterns (i.e. Planning, ReAct) and requirement engineering Designed, delivered and tested context ingestion for autonomous agentic solutions Build knowledge ingestion, enrichment, and entity resolution capabilities Highly Desirable: Delivered production knowledge graph Translated business domains into ontologies and knowledge graphs. Established knowledge quality, validation, and governance practices. Integrated knowledge solutions with agentic AI solutions.""" Skill Matrix -- Ontology/semantic model Knowledge graph Ingestion and entity resolution RAG/Agent integration