Federated Intelligence Engineer - AIML

About the role

We are looking for a Federated Intelligence Engineer to build intelligent systems that bring together distributed knowledge, semantic reasoning, hybrid retrieval, and LLM-based agents. The role focuses on creating solutions where Knowledge Graphs, GraphRAG, vector retrieval, ontologies, reasoning engines, and Agentic AI work together to provide accurate, explainable, and efficient answers.

What you'll do

• Design and implement GraphRAG and hybrid retrieval solutions combining vector search with graph-based retrieval and expansion
• Build and maintain knowledge graphs and ontologies using RDF, OWL, and SPARQL
• Model complex domain relationships, including causal and cause-effect relationships
• Implement semantic reasoning using technologies such as RDFox and/or SemReasoner
• Combine knowledge-graph retrieval with embeddings and vector databases such as ChromaDB

What you need

• Machine learning
• PyTorch
• Node.js
• TypeScript
• Shell scripting
• Docker
• M.Tech

Good to have

• LLMs
• Root cause analysis