Hrishabh Jain, AI Engineer.

I build multi-agent systems, RAG pipelines and the backends behind them, and make sure they actually hold up in production.

Portrait of Hrishabh Jain, AI Engineer in Bengaluru
Now
CambrianEdge.ai
Focus
Multi-agent systems & RAG
Based
Bengaluru, India
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01the short version

About

Hey, I'm Hrishabh Jain, an AI engineer in Bengaluru who teaches LLMs to show up to work on time. At CambrianEdge.ai I own the multi-agent AI core: 10+ agents that plan, research and write together under a supervisor that's honestly stricter than most managers. I build RAG pipelines that cite their sources instead of making things up, MCP integrations that let agents use real tools, and the TypeScript / MERN backend plumbing that keeps it all fast. I once cut response latency by ~40% just by convincing the platform it didn't need the biggest model for everything. Before that I was at Gutenberg, turning piles of RFPs into something you could just ask questions to. Basically, I take AI ideas out of demo-land and into production. Off the clock, I've solved 250+ LeetCode problems and will happily argue that a smaller model would've done the job.

023.5+ yrs

Experience

  1. 01

    AI EngineerCambrianEdge.ai (a Gutenberg venture)

    Full-time · Remote

    Own the multi-agent AI core of a production AI marketing platform for autonomous content generation and workflow automation.

    • Architected a multi-agent system on Mastra with 10+ agents in a supervisor pattern, handling task decomposition, research workflows and autonomous execution.
    • Built MCP (Model Context Protocol) integrations and reusable agent skills so agents can securely call external tools, APIs and data sources with structured outputs.
    • Designed advanced RAG pipelines with LlamaIndex and LlamaParse: multimodal, layout-aware ingestion, semantic retrieval and context injection that cut hallucinations.
    • Benchmarked LLM selection across the platform, swapping oversized models for task-appropriate ones and cutting end-to-end latency by ~40%.
    + 6 more
    • Built the agent orchestration layer that manages prompt routing, memory, tool usage and execution order for multi-step reasoning.
    • Engineered LLM execution pipelines tuned for latency, cost and reliability across streaming and batch generation, plus real-time token streaming for long-form content.
    • Added prompt abstraction and versioning so the team can experiment fast while keeping production behaviour reproducible.
    • Designed MongoDB schemas, indexes and aggregations for high-throughput AI workloads.
    • Secured REST and GraphQL APIs with enterprise-grade authentication, authorization and abuse prevention.
    • Used Redis caching and BullMQ queues for event-driven, fault-tolerant execution of long-running AI jobs.
    • Mastra
    • MCP
    • LlamaIndex
    • TypeScript
    • MongoDB
    • Redis
    • BullMQ
    • GraphQL

    toNow

  2. 02

    Full-Stack DeveloperGutenberg

    Full-time · Remote

    Built AI-powered document intelligence: semantic search and question answering over large sets of RFPs.

    • Built a question-answering system over RFP documents using semantic search, so users could query large document sets with high relevance.
    • Implemented ingestion, chunking, embedding and retrieval pipelines with LangChain, OpenAI APIs and Pinecone, laying the groundwork for RAG.
    • Compared vector search strategies, similarity metrics and chunking approaches to improve retrieval quality and reduce hallucinations.
    + 3 more
    • Designed and tested AI proofs of concept to evaluate emerging LLM APIs, frameworks and tooling for marketing and content problems.
    • Experimented extensively with prompt engineering and response structuring to map LLM strengths and failure modes.
    • Contributed to Node.js, Express and MongoDB backend services for internal tools and experimental AI features.
    • LangChain
    • OpenAI
    • Pinecone
    • Node.js
    • MongoDB
    • TypeScript

    to

  3. 03

    Full-Stack Developer InternGutenberg

    Internship · Remote

    Built backend APIs and real-time, role-based dashboards for the finance team, and early OpenAI prototypes.

    • Designed scalable REST APIs with Node.js, Express and MongoDB behind a responsive React frontend with real-time updates.
    • Built role-based dashboards with real-time insights that helped the finance team make faster, more accurate decisions.
    • Added secure authentication, audit logs and data validation for compliance and traceability.
    + 1 more
    • Explored OpenAI APIs from their initial public release, building proofs of concept for AI-driven automation inside internal tools.
    • React
    • Node.js
    • Express
    • MongoDB
    • Redis
    • OpenAI

    to

Earlier: 2 internshipsVocally · Kalvium · 2022–2023
  1. 04

    Web Developer InternVocally

    Internship · Vancouver, Canada · Remote

    Shipped full-stack features across a React frontend and a Node.js backend.

    • Developed the React front-end architecture behind new user-interface concepts.
    • Integrated frontend components with Node.js, Express, MongoDB and Mongoose backends.
    • Built an internal admin panel with Retool and MongoDB.
    • React
    • Node.js
    • Express
    • MongoDB
    • Retool

    to

  2. 05

    Technical Content Engineer InternKalvium

    Internship · Coimbatore, India · Remote

    Designed hands-on web development labs and industry-driven projects for outcome-based learning.

    • Created labs and practice exercises in HTML, CSS, JavaScript and React.
    • Built projects from industry inputs to support outcome-driven learning.
    • HTML
    • CSS
    • JavaScript
    • React

    to

03@HrishabhCodes ↗

GitHub

Contributions · last year
2,938
Public repos
44
Stars earned
24
Top language
TypeScript
Contribution activity, last 12 months

04side quests

Projects

05tools I reach for

Stack

Gen AIAgents, retrieval, orchestration
  • Mastra
  • MCP
  • Agent Skills
  • Multi-Agent Systems
  • RAG
  • Context Engineering
  • Agentic Memory
  • Vercel AI SDK
  • LlamaIndex
  • LlamaParse
  • LangChain
  • OpenAI APIs
BackendAPIs and the plumbing behind them
  • Node.js
  • Express
  • REST APIs
  • Apollo GraphQL
  • WebSockets
  • BullMQ
FrontendWhen the agents need a face
  • React
  • Next.js
  • Redux
  • Zustand
  • Tailwind CSS
Data & CloudWhere things live
  • MongoDB
  • Redis
  • Pinecone
  • Neo4j
  • Firebase
  • Docker
  • AWS
  • Azure
LanguagesDaily drivers first
  • TypeScript
  • JavaScript
  • Python
  • Java
FundamentalsWhat everything else is built on
  • DSA
  • System Design
  • DBMS
  • OOP
  • Operating Systems
  • Computer Networks
  • Git

06latest notes

Writing

LinkedInPost

Why AI Didn't Cite Your Site in Search Results

I asked an AI for the best whey protein in India. The legacy brands showed up. The viral protein sponsor of India's Got Latent, despite millions of views, did not. The top pick was the brand that wrote the answer page. Its own site had a 2,000+ word breakdown titled around the exact query, with comparison tables and an FAQ, and that page became the AI's #1 source. Why this matters: Pew found that when Google shows an AI summary, people click a regular search result 8% of the time, versus 15% without one. If the AI answer doesn't name you, most people never reach you. That's what GEO is…

Read on LinkedIn
XPost

asked AI for the best whey protein in india 🏋️ the protein brand from a very famous roast show? not cited. not even mentioned. millions of views, zero AI love. the winner was the brand that wrote a page called "Best Whey Protein in India". comparison tables, FAQ, 2k+ words. the…

Read on X
XPost

Database replication is the process of copying data from one database to another. Replication increases the availability and scalability of databases. There are two types of replication: Master-Slave Replication and Master-Master Replication.

Read on X
All writing

07& certifications

Education

2020 — 2024

Bachelor of Technology in Computer Science

Amity University Rajasthan, Jaipur, India

CGPA 8.45

Certifications

  • Generative AI LeaderGoogle
  • Crash Course on PythonGoogle
  • Neo4j FundamentalsNeo4j
  • Cypher FundamentalsNeo4j
  • Introduction to DevOps

08quick answers

FAQ

Who is Hrishabh Jain?
Hrishabh Jain is an AI Engineer based in Bengaluru, India, with 3.5+ years of experience building production software. He currently works at CambrianEdge.ai, where he architects and owns the platform's multi-agent AI core.
What does Hrishabh Jain work on?
He builds production-grade AI systems: multi-agent orchestration with 10+ agents in a supervisor pattern, retrieval-augmented generation (RAG) pipelines with LlamaIndex and LlamaParse, Model Context Protocol (MCP) integrations, and real-time token streaming. He also benchmarks LLM selection, which cut end-to-end latency by about 40%.
What is Hrishabh Jain's tech stack?
TypeScript and the MERN stack (MongoDB, Express, React, Node.js) are his foundation, extended into AI with Mastra, MCP, Vercel AI SDK, LlamaIndex, LangChain, Pinecone and OpenAI APIs. For infrastructure he uses Redis, BullMQ, GraphQL, Docker, AWS and Azure.
Where did Hrishabh Jain study?
He holds a B.Tech in Computer Science from Amity University Rajasthan, Jaipur (2020–2024), graduating with a CGPA of 8.45. He is also a Google Generative AI Leader certified professional.
How can I contact Hrishabh Jain?
Email hrishabh507@gmail.com, or reach him on LinkedIn (linkedin.com/in/hrishabh-jain) or X (@hrishabh_hj).