Agentic AI Engineer - RAG & LangGraph

Gaurav Punetha

+ Pune, India 965******* # ******************@*****.***

Professional Summary

AI Engineer with 2+ years of experience developing and deploying production-grade Agentic AI applications using Python, FastAPI, LangGraph, LangChain, Claude API, and RAG. Expert in building enterprise AI copilots, multi-agent workflows, reusable automation components, and human-in-the-loop systems. Proven track record optimizing enterprise applications with telemetry-driven monitoring using LangSmith, prompt engineering, secure vector databases, and scalable Azure cloud deployment. Core Competencies & Technology

Programming & Frameworks: Python, FastAPI, REST APIs, Async Python, Pydantic, JSON, PostgreSQL Agentic AI & LLMs: LangGraph, LangChain, Claude API, OpenAI GPT-4, Multi-Agent Systems, Tool/Function Calling, Struc- tured Outputs, Prompt Engineering, Human-in-the-Loop Workflows, MCP Concepts Retrieval & Automation: Retrieval-Augmented Generation (RAG), ChromaDB, Pinecone, Embeddings, Semantic Search, Knowl- edge Retrieval, Workflow Automation, Enterprise API Integration, OAuth2, Webhooks Monitoring & DevOps: LangSmith, Telemetry, Tracing, Prompt Evaluation, Azure App Service/OpenAI/Bot Service, Docker, Git, CI/CD Fundamentals

Experience

LTIMindtree Jan 2024 – Apr 2026

Agentic AI Engineer Pune, India

• Deployed a production-grade AI Procurement Copilot using LangGraph, FastAPI, Claude API, and Azure, enabling seamless natural language knowledge retrieval and reducing manual support effort.

• Engineered reusable Agentic AI workflows with tool calling, function routing, and persistent state management to automate operations, improving maintainability and system scalability.

• Developed RAG pipelines using vector embeddings, ChromaDB, and semantic search across enterprise documentation, delivering grounded responses and mitigating hallucinations.

• Built reusable FastAPI services and SAP integration connectors using OAuth2 authentication, enhancing secure interop- erability between internal legacy systems and AI workflows.

• Implemented structured tool validation via Pydantic models, securing API execution and eliminating runtime failures in high-throughput production environments.

• Developed human-in-the-loop workflows for sensitive operations, enabling user validation before enterprise API execution to preserve tracking and auditability.

• Leveraged LangSmith telemetry to trace LLM interactions, monitor workflow execution, and analyze token usage/latency to drive continuous application performance optimization.

• Collaborated with cross-functional stakeholders, solution architects, and technical teams to translate business constraints into automated solutions following strict secure software engineering standards. Personal Projects

Enterprise AI Helpdesk Automation Make.com, Claude API, Workflow Automation

• Designed an enterprise solution that automated incoming support mail classification, priority routing, and structured summary generation via Claude API, minimizing manual triage overhead. Multi-Agent Market Research & AI Use Case Generator LangGraph, LangChain, Gradio, Tavily API, Claude API

• Architected a supervisor-coordinated multi-agent system (Research, Analyst, Report Generation) using Tavily Search API and ChromaDB vector embeddings to deliver comprehensive business intelligence reports.

• Built an interactive Gradio app with streaming updates and Markdown generation, reducing end-to-end research execution time from 6 hours to under 12 minutes.

Education

DIT University Aug 2019 – Jul 2023

Bachelor of Technology in Computer Science Engineering (CGPA: 7.67/10) Dehradun, Uttarakhand Achievements & Certifications

• Recipient of the LTIMindtree SuperCrew Award (Feb 2025) for delivering high-impact enterprise AI solutions.

• Completed Hugging Face Agents Course (Agentic AI, Multi-Agent Systems, Tool Calling, and AI Workflow Orches- tration).

• Certifications/Training: Azure AI Fundamentals (Preparing), Production LLM Engineering (FastAPI, LangGraph).

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