Hands-on experience designing and shipping LLM-powered or agentic AI systems in production, not limited to notebooks, PoCs, or isolated demos.
Demonstrated experience with multi-agent orchestration in production, using frameworks such as LangGraph, AutoGen, CrewAI, LangChain, or equivalent technologies.
Proven experience building SQL or structured data agents that can connect to live databases, inspect schemas, infer semantic meaning, and generate relationship-level understanding.
Solid working knowledge of RAG, vector databases, embedding models, chunking strategies, hybrid retrieval, metadata filtering, prompt engineering, and LLM evaluation. Deep knowledge of Pinecone, Milvus, or Qdrant, specifically around hybrid search (sparse + dense), reranking models (Cohere/BGE), and dynamic chunking strategies.
Experience deploying open-source models (Llama, Gemma) via vLLM or Ollama to optimize throughput and cost.
Architect production-grade multi-agent AI systems using LangGraph, AutoGen, CrewAI, or equivalent orchestration frameworks.
Design stateful agent workflows




Define agent capabilities for data discovery, profiling, scoring, enrichment, intelligence extraction, and contextual reasoning across enterprise data estate.
Build and guide the design of structured data agents that can introspect live databases, infer schema meaning and generate ER-level understanding.
Design document intelligence pipelines for large-scale extraction from unstructured data like PDFs, Word documents, emails, call transcripts, and semi-structured enterprise content using tools such as Azure Document Intelligence, AWS Textract, LlamaParse, or equivalent technologies.
Architect vector database and retrieval pipelines, including chunking strategies, embedding model selection, metadata design, hybrid search, retrieval tuning, and domain-specific RAG patterns.
Define agent evaluation methodology covering accuracy, precision, recall, recall@k, regression testing, drift detection, hallucination ch

📌 AI/ML Technology Architect (Bengaluru)
🏢 Infosys
📍 Bengaluru