---
title: "Rishi Jain - Software Engineer in Bengaluru | Tal"
description: "Meet Rishi Jain, SWE @ HashedIn by Deloitte | AI Engineer | Agentic AI | Backend Engineering | Python | LeetCode 1875+ based in Bengaluru. AI stack includes hugging face, langchain, and langfuse. Explore public work links including leetcode and codeforces."
image: "https://tal.club/meet/rishi-jain-1/share-image"
---

# Rishi Jain on Tal

## Headline

SWE @ HashedIn by Deloitte \| AI Engineer \| Agentic AI \| Backend Engineering \| Python \| LeetCode 1875\+

## About

Software Engineer \| Backend Engineering \| AI/LLM Systems Software Engineer at HashedIn by Deloitte specializing in Backend Engineering, Generative AI, LLM\-powered systems, and distributed architectures\. I build scalable backend services and production\-grade AI workflows with a strong focus on performance, reliability, observability, and maintainability\. Key Impact \- Built AI\-assisted interview workflows that reduced interviewer preparation time by 50% through automated interview content generation and candidate insights\. \- Designed event\-driven architectures using AWS ECS Fargate, Lambda, and SQS for scalable asynchronous processing and data enrichment\. \- Integrated LLM APIs \(OpenAI/Claude\) with internal candidate and job\-profile services to generate structured interview plans, evaluation insights, and grounded AI outputs\. \- Improved production reliability using caching, retries, timeouts, fallbacks, response validation, and robust error handling, reducing manual assessment errors by 30%\. \- Implemented LLM observability using Langfuse, AWS CloudWatch, dashboards, and metrics to monitor latency, failures, and system health\. \- Built and deployed containerized microservices using Docker and AWS infrastructure\. AI / GenAI Expertise LLMs • RAG • Agentic AI • LangChain • LangGraph • Prompt Engineering • Structured Outputs • Function/Tool Calling • OpenAI APIs • Claude APIs • LLM Observability • AI Workflows Backend & Cloud Java • Python • Spring Boot • FastAPI • REST APIs • Microservices • Event\-Driven Architecture • AWS • ECS Fargate • Lambda • SQS • S3 • Docker • Redis • MySQL • PostgreSQL • MongoDB AI Infrastructure & Data FAISS • PgVector • RAG Pipelines • Vector Search • Structured & Unstructured Data • LLM Evaluation • Production AI Systems Previously, as an intern at HashedIn, I developed Java/Spring Boot REST APIs, built RAG pipelines, containerized services with Docker, and contributed to testing, code reviews, and scalable backend development\. I enjoy solving challenging problems across distributed systems, scalable backend architecture, cloud infrastructure, GenAI, Agentic AI, and production LLM systems\. Competitive Programming: Global Rank 8 in GFG Weekly Contest 118 \| Global Rank 30 / AIR 25 in CodeChef Starters 89 \| 2× Excellence Awards at HashedIn by Deloitte\.

## Location

Bengaluru

## AI stack

hugging face

langchain

langfuse

langgraph

AutoGen

Ragas

## Work experience

Software Engineer at HashedIn by Deloitte, Sep 2024 \- Present · 2 yrs, Bengaluru, Karnataka, India

Software Developer Intern at HashedIn by Deloitte, Jun 2024 \- Sep 2024 · 4 mos, Bengaluru, Karnataka, India

Java Developer at Ativeer Tech, Jul 2021 \- Aug 2021 · 2 mos, Kanpur, Uttar Pradesh, India, – Collaborated with senior developers to design and integrating backend with Java\. – Gained hands\-on experience in coding, testing modules\. – Contributed to the development and enhancement of various modules, ensuring adherence to coding standards and best practices\.

## Education

Bachelor of Technology \- BTech, Computer Science, Jaypee University of Engineering and Technology

Pragati Vidya Peeth

## Public links

- leetcode: https://leetcode\.com/whorishi
- codeforces: https://codeforces\.com/profile/whorishi

[View the original profile](https://tal.club/meet/rishi-jain-1)

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