---
title: "Yash Jain - Software Engineer in Indore | Tal"
description: "Meet Yash Jain, GenAI Engineer | Agentic AI • Multi-Agent Systems • RAG | LangChain • LangGraph • OpenAI | Java • Spring Boot • Python based in Indore. AI stack includes langchain, langgraph, and mcp."
image: "https://tal.club/meet/yash-jain-5/share-image"
---

# Yash Jain on Tal

## Headline

GenAI Engineer \| Agentic AI • Multi\-Agent Systems • RAG \| LangChain • LangGraph • OpenAI \| Java • Spring Boot • Python

## About

I'm a Software Engineer with 2 years of experience building production\-grade AI systems and scalable backend architectures\. My journey started with Java & Spring Boot backend development, and I transitioned into full\-time GenAI/Agentic AI engineering — building systems that are intelligent, autonomous, and production\-ready\. What I build: 🤖 Agentic AI systems & Multi\-Agent frameworks \(LangGraph, A2A\) 🔍 RAG\-based applications with vector databases \(FAISS, Chroma, Pinecone\) 🎙️ Voice AI Agents with real\-time conversational workflows ⚙️ MCP servers & SSE\-based event streaming architectures 🏗️ Backend APIs & Microservices \(Java, Spring Boot, FastAPI\) Tech I work with: Python · Java · LangChain · LangGraph · OpenAI · CrewAI · FastAPI · Spring Boot · AWS · GCP · Docker · FAISS · Pinecone Currently building @ Duredev: Working on TalentPass — an AI\-powered mock interview platform with agent\-based workflows and LLM evaluation systems\. Open to GenAI Engineer / AI Engineer / LLM Engineer roles\. 📩 yashjain7216@gmail\.com

## Location

Indore

## AI stack

langchain

langgraph

mcp

openai

## Work experience

Software Engineer at Duredev, May 2025 \- Present · 1 yr 1 mo, Indore, Madhya Pradesh, India, Building next\-generation Agentic AI systems and multi\-agent orchestration frameworks\. • Built intelligent AI agents using LLM\-based architectures with dynamic tool selection • Designed multi\-agent systems using A2A frameworks for complex task orchestration • Built and integrated MCP servers to enable tool\-augmented AI workflows • Implemented real\-time communication using SSE\-based event streaming • Designed autonomous workflow automation agents for decision\-making and execution TalentPass — AI Mock Interview Platform • Built AI\-driven platform for mock interviews and candidate evaluation • Designed agent\-based workflows simulating real interview scenarios with dynamic question generation • Enabled real\-time feedback using LLM\-powered evaluation systems 🛠 Python · LangChain · LangGraph · OpenAI · MCP · SSE · A2A · FastAPI · GCP

Associate Software Engineer at Valuebound, Oct 2024 \- Apr 2025 · 7 mos, Started as Java backend engineer, transitioned into AI/LLM development\. • Developed backend systems using Java, Spring Boot and cloud technologies • Built scalable REST APIs with caching and database performance optimization SitePilot — AI Website Optimization Platform • Built AI\-driven system to analyze website performance, SEO and code quality using LLMs • Generated prioritized actionable insights for speed, accessibility and SEO improvements Voice AI Agent • Developed voice\-based AI agent for automated interactions using LLMs and speech processing • Built real\-time conversational workflows with voice input/output pipeline integration 🛠 Java · Spring Boot · Python · LangChain · OpenAI · GCP

Intern at Valuebound, Jul 2024 \- Oct 2024 · 4 mos

## Education

Bachelor of Technology \- BTech, Computer Science, LNCT Group of Colleges

[View the original profile](https://tal.club/meet/yash-jain-5)

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