Senior AI Engineer
Senior AI Engineer – Knowledge Graph & Agentic Systems
Location : Hyderabad (Onsite)
Role Overview :
Hands-on engineering role focused on building Knowledge Graph and Agentic AI systems using modern LLM and GraphRAG frameworks. You will design and deploy production-grade AI solutions and work closely with enterprise clients and architects.
Key Responsibilities :
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Design and build Knowledge Graphs using Neo4j, Amazon Neptune, TigerGraph
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Develop GraphRAG and ontology-based systems
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Build multi-agent AI systems using LangGraph, LangChain, CrewAI
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Develop LLM-powered applications (OpenAI, Claude, Llama, Gemini, Bedrock)
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Write production-grade Python backend services and APIs
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Optimize retrieval, reasoning, and AI workflows
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Work on CI/CD, testing, observability, and deployment
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Collaborate with enterprise clients and technical teams.
Must-Have Skills :
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8–12 years software engineering experience
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3+ years AI/ML engineering experience
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Strong Python
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Knowledge Graphs (Neo4j, Neptune, TigerGraph)
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GraphRAG / RAG systems
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LangGraph / LangChain / CrewAI
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Vector DBs (Pinecone, Weaviate, Qdrant, FAISS)
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LLM integration & deployment
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AWS / Azure / GCP
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Docker, CI/CD.
Preferred Skills :
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Cypher / Gremlin / SPARQL
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Ontology & schema design
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Multi-agent systems
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AWS services (Bedrock, SageMaker, Lambda, IAM)
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SAP / ERP data exposure
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Research / open-source contributions.
Nice to Have :
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Graph Theory
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Semantic search
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Knowledge representation.