Shahzaib Noor
@shahzaibnoor
Senior Agentic AI Engineer building production-grade LLM and multi-agent RAG systems with evaluation and observability.
What I'm looking for
I’m a Senior Agentic AI Engineer with 9 years of software engineering experience and 3 years specialising in production-grade LLM systems, multi-agent orchestration, and RAG pipelines.
My core expertise is LangGraph, Model Context Protocol (MCP), OpenAI Agents SDK, LangChain, and agentic workflow engineering—systems that reason, plan, use tools, and operate reliably in production with evaluation, observability, and governance built in.
I’ve delivered AI-powered platforms across Healthcare, FinTech, IoT, and SaaS for clients in US, UK, UAE, and EU markets—building MCP servers, typed tool interfaces, and production RAG systems with measurable retrieval-quality improvements.
I lead with engineering rigor: golden datasets, LLM-as-a-Judge, prompt injection testing, PII leakage detection, hallucination detection, and CI/CD regression gates, backed by execution tracing, cost monitoring, structured logging, and Sentry error tracking. I also publish production-grade work, including an open-source RAG system on GitHub.
Experience
Work history, roles, and key accomplishments
Senior Agentic AI Engineer
Independent Consulting
Sep 2020 - Present (5 years 9 months)
Designed and deployed production multi-agent LLM systems using LangGraph, MCP tool interfaces, and RAG pipelines for healthcare, FinTech, and SaaS clients. Built evaluation and observability into releases (golden datasets, LLM-as-a-Judge, prompt-injection/PII checks, Sentry tracing) and delivered a production workload reduction of 60–70% in CareCopilot AI.
Software Engineer
PrismPay
Aug 2018 - Sep 2020 (2 years 1 month)
Built regulated FinTech backend services processing 100K+ monthly transactions with Python/FastAPI and async pipelines, improving throughput by 30% and reducing deployment errors by 80%. Implemented JWT/OAuth2 authentication, payment gateway integrations, and audit/compliance controls.
Software Engineer
Qavi Technologies
Sep 2017 - Aug 2018 (11 months)
Built 20+ REST APIs for 5,000+ daily users using PostgreSQL, Redis, and Elasticsearch, reducing API latency by ~40%.
Education
Degrees, certifications, and relevant coursework
Sir Syed University of Engineering & Technology
Bachelor of Science, Computer Science
2012 - 2016
Earned a B.S. in Computer Science from Sir Syed University of Engineering & Technology between 2012 and 2016.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/ShahzaibSESocial media
Job categories
Skills
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