Headline

Software Engineer → Agentic AI Engineer | Building LLM Agents on AWS in Fintech | LangGraph · RAG · MCP · Vector DBs | Java · Python · Spring Boot · Kubernetes | 5+ yrs | Open to Relocation: Saudi/UAE/Qatar/Oman

About

Hello! I'm Faizan — an engineer who loves shipping AI on solid foundations, and I'm relocating to the GCC (Saudi/UAE/Qatar/Oman). Day job: I build scalable FinTech microservices at Bread Financial (Java, Spring Boot, Python, AWS/AKS) — secure, high-availability, revenue-critical systems. Passion (now becoming the day job): Agentic AI. I build with LangChain, LangGraph, RAG/GraphRAG, MCP, vector databases and Amazon Bedrock, with a focus on guardrails, evals and observability, and I've shipped GenAI tooling that automates testing and dev workflows. I'm drawn to the Gulf's sovereign-AI ambition — Vision 2030, AI Strategy 2031, HUMAIN, G42, ALLaM/Falcon/Jais/Fanar — and I bring regulated-fintech discipline (SAMA/CBUAE/PDPL awareness, data residency) to it. Open to Senior AI Engineer / Agentic AI Engineer roles in Riyadh, Dubai, Abu Dhabi, Doha and Muscat. Indian national; ready for degree attestation + Saudi Council of Engineers registration; Notice 60 days. 📧 workwithfaizahmed@gmail.com · 📱 +918501030604 Core skills: Python · Java · Spring Boot · LangGraph · LangChain · MCP · RAG · GraphRAG · Vector Databases · Amazon Bedrock · AWS · Kubernetes · Docker · Azure · Agentic Workflows · LLM Evals & Observability. Always happy to connect with fellow engineers building agentic and GenAI systems.

Location

Bengaluru

AI stack

anthropic apis

langchain

langgraph

langsmith

mcp

Google ADK

Work experience

Engineer II at Bread Financial, Nov 2023 - Present · 2 yrs 10 mos, Bengaluru, Karnataka, India, – Designing and developing scalable FinTech APIs and microservices using Java and Spring Boot for high-traffic enterprise workflows – Leading the migration of core enterprise APIs to Azure Kubernetes Service (AKS), implementing zero-downtime Rolling deployment strategies – Building Python and FastAPI-based automation frameworks to streamline API testing and reduce manual QA efforts – Innovating with GenAI and LLMs by developing internal productivity tools, including automated test-generation workflows – Collaborating with cross-functional teams (DevOps, Infrastructure, QA) to define architecture, resolve critical production incidents, and enhance system resilience

Senior Software Engineer at Kantar, Apr 2023 - Nov 2023 · 8 mos, Bengaluru, Karnataka, India, • Re-architected backend processes from Azure Functions to Kubernetes clusters using Python and FastAPI to drastically improve system performance • Developed scalable full-stack features and reusable UI components using Angular and Azure Cosmos DB, significantly optimizing dashboard load times

Software Engineer at Kantar, Jan 2021 - Apr 2023 · 2 yrs 4 mos, Bengaluru, Karnataka, India, • Built robust data integration pipelines using Azure Data Factory for seamless ETL processing of large-scale datasets into Azure SQL • Enhanced microservice security by integrating Azure Key Vault for centralized and secure credential management • Developed Python-based data services to generate critical visual metrics, such as image heatmaps and text-based word clouds, for client insights

Engineering Trainee at National Remote Sensing Centre, a part of Indian Space Research Organisation, May 2018 - Jun 2018 · 2 mos, Greater Hyderabad Area

Education

Master of Technology - MTech, Electrical, Electronics and Communications Engineering, JNTUH College of Engineering Hyderabad

School, Sri Lakshmi High School - India

Public links

github: https://github.com/emfa