Richard Noble
@richardnoble2
Senior AI & LLM Engineer building production RAG, intelligent automation, and scalable full-stack systems.
What I'm looking for
I’m a Senior AI & LLM Engineer with over 10 years of experience building scalable full stack systems and intelligent applications using Python and Java. I focus on production AI solutions—especially large language model integrations, retrieval-based systems, and intelligent automation that strengthen product capabilities and data-driven workflows.
At Capital One, I built enterprise AI knowledge retrieval platforms using Python, LangChain, and RAG that analyze 10K+ internal documents and generate contextual responses through AI assistants and conversational interfaces. I also developed scalable LLM orchestration services with FastAPI and LangChain (prompt engineering, few-shot prompting, and context window tuning), implemented AI agents and multi-agent workflows with AutoGen and CrewAI, and delivered semantic search with vector embeddings using FAISS and Pinecone—while integrating LLM APIs across OpenAI, Anthropic Claude, and Hugging Face Transformers and deploying production AI on AWS at 100K+ AI queries per month.
Experience
Work history, roles, and key accomplishments
Senior AI & LLM Engineer
Capital One
Feb 2023 - Present (3 years 1 month)
Built enterprise AI knowledge retrieval platforms using Python, LangChain, and RAG that analyze 10K+ internal documents to generate contextual responses via AI assistants and conversational interfaces. Orchestrated LLM services, semantic search, and multi-agent workflows, deploying to AWS to support 100K+ AI queries per month.
Senior Software Engineer
Capital One
Oct 2020 - Feb 2023 (2 years 4 months)
Developed a full stack SaaS platform using TypeScript/Angular and Java Spring Boot, supporting real-time product workflows and intelligent features. Built scalable backend services and analytics pipelines processing millions of product records, deploying on AWS with CI/CD and event-driven integrations for AI-driven insights.
Associate Developer
Swift
May 2016 - Oct 2020 (4 years 5 months)
Built web application features using JavaScript, Java, and REST APIs for internal business tools used by 100+ users. Implemented Spring-based backend endpoints and MySQL/PostgreSQL integrations, and supported frontend-backend functionality with Git-based collaboration.
Education
Degrees, certifications, and relevant coursework
William & Mary
Master's Degree, Computer Science
2014 - 2016
Master’s Degree in Computer Science from William & Mary from 2014 to 2016.
Longwood University
Bachelor's Degree, Computer Science
2010 - 2014
Bachelor’s Degree in Computer Science from Longwood University from 2010 to 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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