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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and implementation of agentic AI systems integrating LLMs, symbolic reasoning, and Knowledge Graphs.
Develop and deploy production-grade neuro-symbolic AI solutions using frameworks like LangGraph, AutoGen, LangChain, and databases including Neo4j.
Shape technical strategy, mentor engineers, and enable scalable AI across multiple enterprise domains.
Minimum Requirements
Bachelor's or Master's degree in Engineering.
2-5 years of relevant work experience in GenAI or agentic AI systems development.
Proficient in Python, Neo4j, Cypher query optimization, and knowledge-centric AI technologies.
Experience with frameworks such as LangGraph, AutoGen, LangChain, and integration of databases like Postgres, MongoDB, ChromaDB.
Ideal Candidate Profile
Strong background in neuro-symbolic AI combining LLMs, symbolic reasoning, and Knowledge Graphs for explainable AI.
Experience leading architecture and implementation of enterprise-scale agentic AI platforms.
Skilled in integrating multiple database types (graph, vector, NoSQL) and deploying reliable, scalable AI solutions to production.