Summary: Senior AI Engineer with 9+ years of experience building production-scale AI systems, multi-agent platforms, RAG pipelines, and cloud-native applications across finance, healthcare, and retail. Recently led enterprise AI initiatives at Jefferies, designing AI document intelligence platforms, agentic workflows, and large-scale retrieval systems processing millions of documents monthly. Experienced with OpenAI, Claude, Azure OpenAI, Bedrock, LangChain, LangGraph, vector search, Kubernetes, and modern MLOps/LLMOps practices. Strong background delivering secure, scalable AI solutions that improve automation, retrieval accuracy, and operational efficiency in highly regulated environments.
Remote: Yes
Willing to relocate: Yes
Technologies: Python, TypeScript, Generative AI, LLMs, AI Agents, LangChain, LangGraph, RAG, OpenAI, Claude, Azure OpenAI, Amazon Bedrock, MCP, Vector Databases, Pinecone, pgvector, OpenSearch, FastAPI, React, Node.js, PostgreSQL, Kafka, Docker, Kubernetes, AWS, Azure, GCP
Résumé/CV: https://drive.google.com/file/d/18kjdya6E1wg-WY9DCvR42KLv4Np...
Email: jasonlayton9412@gmail.com
Summary: Senior AI Engineer with 9+ years of experience building production-scale AI systems, multi-agent platforms, RAG pipelines, and cloud-native applications across finance, healthcare, and retail. Recently led enterprise AI initiatives at Jefferies, designing AI document intelligence platforms, agentic workflows, and large-scale retrieval systems processing millions of documents monthly. Experienced with OpenAI, Claude, Azure OpenAI, Bedrock, LangChain, LangGraph, vector search, Kubernetes, and modern MLOps/LLMOps practices. Strong background delivering secure, scalable AI solutions that improve automation, retrieval accuracy, and operational efficiency in highly regulated environments.