---
title: "Sabiq Aijaz - Engineer-Automation Solutions in Bengaluru | Tal"
description: "Meet Sabiq Aijaz, AI/Agentic Engineer building RAG & multi-agent systems | LangChain · LangGraph · FastAPI · Vector DBs | Applied AI based in Bengaluru. AI stack includes antigravity, claude code, and github copilot."
image: "https://tal.club/meet/sabiq-aijaz/share-image"
---

# Sabiq Aijaz on Tal

## Headline

AI/Agentic Engineer building RAG & multi\-agent systems \| LangChain · LangGraph · FastAPI · Vector DBs \| Applied AI

## About

I build AI systems — RAG pipelines, LLM\-powered agents, and multi\-agent workflows — and I come at it from an angle most don't: enterprise automation\. Plenty of people prototyping agentic AI have never had to make a system survive contact with a messy, real\-world enterprise environment\. I have\. I design and deploy workflow automation for a global enterprise client — process analysis, bot development, API integration, intelligent document processing — and I'm actively bringing LLM\-based components into those pipelines\. That mix of RPA reliability discipline and LLM capability is where I think the most genuinely useful AI automation gets built\. Outside of client work, I build production\-minded AI systems hands\-on: → Agentic & multi\-agent systems with LangGraph and n8n — orchestration, tool use, self\-correcting loops → RAG pipelines with FastAPI, Qdrant / ChromaDB, and both hosted \(GPT\-4o\) and local models \(Ollama\) → Evaluation & optimization tooling for retrieval quality, because shipping AI means measuring it → Full\-stack delivery — Go and Python microservices, Dockerized, deployed My foundation is in shipping real software: before Brillio I built and released cross\-platform mobile apps and Node\.js backend services at a healthcare startup, owning full production release cycles\. That "make it work in production" instinct is what I bring to AI engineering\. Currently focused on: production RAG, agentic/multi\-agent architectures, LLM orchestration, and the Azure AI stack\. Tech: Python · LangChain · LangGraph · FastAPI · RAG · Vector DBs \(Qdrant, ChromaDB, FAISS\) · OpenAI / Ollama · Go · n8n · Docker · Azure · Node\.js · UiPath Open to AI Engineer / GenAI Engineer / Applied AI roles\. If you're building LLM\-powered or agentic systems, let's talk\.

## Location

Bengaluru

## AI stack

antigravity

claude code

github copilot

hugging face

langchain

langgraph

## Work experience

Engineer\-Automation Solutions at Brillio, Sep 2025 \- Present · 1 yr, Bengaluru, Karnataka, India, \- Work directly with business teams at a global enterprise client to analyze workflows, identify automation opportunities, and translate processes into technical specifications\. \- Design and develop UiPath RPA bots to automate rule\-based and document\-heavy business processes end\-to\-end\. \- Integrate automation pipelines with enterprise APIs, internal systems, and third\-party applications\. \- Deploy, monitor, and maintain automation solutions with a focus on reliability and performance\. \- Maintain documentation, version control, and development best practices across automation projects\. \- Exploring integration of LLM\-based components \(intelligent document processing, AI\-assisted workflows\) into existing automation pipelines\.

SDE\-I at MyCLNQ Health, Jan 2025 \- Aug 2025 · 8 mos, Bengaluru, Karnataka, India, \- Built and maintained cross\-platform mobile applications using React Native for a healthcare platform operating across multiple countries\. \- Developed backend services using Node\.js with MongoDB, deployed on AWS and Azure\. \- Managed full mobile release cycle including App Store and Google Play submissions, versioning, and hotfixes\. \- Worked in Agile sprints using Jira for task management and cross\-team collaboration\. \- Contributed to both frontend and backend codebases, delivering new features and resolving production issues\.

App Developer intern at MyCLNQ Health, Mar 2024 \- Jun 2024 · 4 mos, Singapore, \- Worked on a patient\-doctor booking platform used across multiple countries\. \- Integrated new features including real\-time chat into a legacy React Native codebase\. \- Resolved critical production bugs and contributed performance improvements\. \- Collaborated with cross\-functional teams in an Agile environment using Jira\.

iOS App Developer at Tabbly, Mar 2024 \- Jun 2024 · 4 mos, Remote, \- Independently designed, developed, and launched the Tabbly iOS app from scratch\. \- Built app architecture using Swift and SwiftUI with a focus on performance and code maintainability\. \- Delivered a production\-ready app to the App Store on schedule\.

## Education

Bachelor of Technology \- BTech, Computer Science, University of Kashmir

High school, Science, Oasis Educational Institute

[View the original profile](https://tal.club/meet/sabiq-aijaz)

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