Data Scientist at EXL in Bengaluru, Karnataka, India
- Company: EXL
- Location: Bengaluru, Karnataka, India
- Posted: Sep 22, 2026
- Type: Full-time
- Experience: 5+ years
Overview
We are seeking for a Gen AI Engineer – Neuro-Symbolic AI & Agentic Systems to design, develop, and deploy enterprise-scale intelligent systems that fuse Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs.
Job description
- We are seeking for a Gen AI Engineer – Neuro-Symbolic AI & Agentic Systems to design, develop, and deploy enterprise-scale intelligent systems that fuse Generative AI, autonomous agents, symbolic reasoning, and Knowledge Graphs.
- The ideal candidate will bring strong expertise in Python, LLM-based systems, agentic frameworks, and knowledge-centric AI, with hands-on experience delivering production-grade GenAI or agentic solutions grounded using Knowledge Graphs (Neo4j).
- As part of EXL’s Digital AI R&D Innovation team, you will lead the architecture and implementation of agentic, reasoning-driven AI platforms, mentor engineers, shape technical strategy, and enable scalable AI solutions across multiple enterprise domains.
Responsibilities
- · Lead the design and implementation of agentic AI systems using frameworks such as LangGraph, AutoGen, LangChain, or similar.
- o Large Language Models (LLMs)
- o Symbolic reasoning, rules, and constraints
- o Knowledge Graphs for grounding and explainability
- o LLM grounding and hallucination mitigation
- o Agent memory, planning, and reasoning
- o Explainable multi-hop inference
- · Develop and optimize Cypher queries, graph schemas, and indexing strategies in Neo4j.
- · Integrate semantic reasoning capabilities using RDF, OWL, SPARQL, ontologies, and rule-based inference engines to enable neuro-symbolic AI, multi-hop reasoning, explainability, and knowledge-driven agent behavior.
- · Implement Graph-RAG and hybrid retrieval pipelines combining vector databases and Knowledge Graphs.
- · Deploy and maintain multiple GenAI / Agentic AI solutions in production, ensuring reliability, scalability, and security.
- · Integrate SQL, No-SQL, vector, and graph databases (Postgres, MongoDB, Neo4j, ChromaDB, etc.).
Requirements
- Bachelor's/Master's in Engineering 2-5 years
- Attention To Consistency
- Contract Management Processes
- Internal Communications
- Interpersonal Relationship Building
- Leadership Capabilities
- Legal Documentation
- Microsoft Office
- Working under Pressure
Skills
Required
- Python
- LLM-based systems
- Agentic frameworks
- Knowledge-centric AI
- Neo4j
- LangGraph
- AutoGen
- LangChain
- Cypher
- RDF
- OWL
- SPARQL