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Noah Sheldon
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AI Engineer London

Production AI engineering - building systems that survive real users, real data, and real scale.

As Associate Director of Applied AI/ML at Fitch Ratings, I design and build production AI systems daily - from agentic workflows to RAG pipelines to LLMOps infrastructure. This is not research; this is engineering that ships.

I work across the full stack: Python and FastAPI for backend services, LangChain and LangGraph for agent orchestration, React and TypeScript for interfaces, and AWS/Azure for deployment. Every system is built for reliability, observability, and maintainability from day one.

What I Build

  • Agentic AI systems using LangGraph and multi-agent orchestration
  • RAG pipelines with vector databases, embeddings, and reranking
  • LLMOps infrastructure for prompt versioning, evaluation, and monitoring
  • Production ML systems for financial analytics and regulatory environments

Engineering Approach

I care about the whole path from prototype to production: model choice, orchestration, APIs, deployment, observability, and the developer ergonomics around it. Every system must be operable by a team, not just its builder.

Relevant deep dives

Building AI Agents: From Concept to Production

Practical guide to architecting and deploying autonomous AI agents that actually deliver value in a production environment.

Read · 14 min

RAG Systems Deep Dive: Retrieval-Augmented Generation Explained

Comprehensive guide to RAG systems - how retrieval-augmented generation combines LLMs with custom knowledge sources.

Read · 13 min

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