Chennai, Tamil Nadu
Job Summary
AI Engineer (Graph and Vector DB)
Strong hands-on experience in designing and implementing Graph and Vector database solutions for AI/GenAI use cases, with specific expertise in Neo4j for knowledge graph modeling and Milvus for scalable vector storage and similarity search.
Experience integrating Neo4j and Milvus with LLM/RAG-based systems, including data ingestion, indexing, metadata design, query optimization, and performance tuning for high-volume datasets.
Demonstrated experience working with AWS-based AI/ML including services such as SageMaker, Bedrock, ECS/EKS, S3 and API Gateway
Key Skills: Expertise in AI engineering and KB development using Milvus (vector DB) and Neo4j (graph DB), RAG architectures, embedding/chunking pipelines, and deploying scalable, production-ready AI systems on cloud platforms.
Key Responsibilities
AI Engineer (Graph and Vector DB)
Strong hands-on experience in designing and implementing Graph and Vector database solutions for AI/GenAI use cases, with specific expertise in Neo4j for knowledge graph modeling and Milvus for scalable vector storage and similarity search.
Experience integrating Neo4j and Milvus with LLM/RAG-based systems, including data ingestion, indexing, metadata design, query optimization, and performance tuning for high-volume datasets.
Demonstrated experience working with AWS-based AI/ML including services such as SageMaker, Bedrock, ECS/EKS, S3 and API Gateway
Key Skills: Expertise in AI engineering and KB development using Milvus (vector DB) and Neo4j (graph DB), RAG architectures, embedding/chunking pipelines, and deploying scalable, production-ready AI systems on cloud platforms.
Skill Requirements
1. Solid Proficiency In Genai, Prompt Engineering, And Working With Large Language Models (Llms).
2. Solid Understanding Of Python Programming And Restful Api Development Using Flask, Django, Or Fastapi.
3. Solid Experience With Relational And Vector Databases, Including Postgresql, Mysql, And Pinecone.
4. Solid Ability To Implement And Optimize Embedding Techniques For Aidriven Applications.
5. Solid Familiarity With Azure Ai Search And Semantic Retrieval Solutions.
6. Solid Skills In Technical Documentation And Process Compliance Within Development Projects.
Other Requirements
1. Optional but valuable certifications:
2. - Microsoft Certified: Azure AI Engineer Associate
3. - Google Professional Machine Learning Engineer
4. - OpenAI Developer Certification
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