Jamie Gray
@jamiegray2
Senior software engineer specializing in AI-driven full-stack and systems architecture.
United StatesWhat I'm looking for
I am a senior software engineer with a B.S. in Computer Science from the University of Southern California and a strong background building high-throughput distributed systems and AI-first products.
I began my career at Amazon working on core backend services for high-availability distributed systems, then delivered full-stack enterprise solutions at Intellectsoft before leading real-time NLP and agent assist initiatives at Observe.AI.
Since 2024 I have been architecting Agentic AI orchestration, MCP context handling, and high-performance RAG pipelines at HarveyAI, reducing hallucination rates and optimizing LLM latency while building responsive React/TypeScript frontends.
I thrive in fast-paced, remote-first engineering environments, enjoy cross-functional Agile collaboration, and bring a pragmatic focus on reliability, scalability, and measurable product impact.
Experience
Work history, roles, and key accomplishments
HAArchitected the core Agentic AI orchestration layer and RAG pipeline for autonomous legal workflows, reducing hallucination rates by 40% and enabling scalable indexing of millions of case-law documents.
OBSpearheaded the Real-Time Agent Assist low-latency platform that processed 1M+ calls daily, built scalable NLP pipelines, and migrated services to Kubernetes to improve reliability and deployment velocity.
INDelivered enterprise MERN-stack solutions and integrated TensorFlow AI models for medical imaging, reducing detection errors by 30% while implementing secure OAuth2/OIDC authentication across microservices.
AMContributed to core backend services focusing on high-availability distributed systems and database optimizations to support peak traffic loads for global e-commerce scale.
Education
Degrees, certifications, and relevant coursework
UCUniversity of Southern California
Bachelor of Science, Computer Science
2012 - 2016
Completed a Bachelor of Science in Computer Science focused on software engineering and distributed systems.
Tech stack
Software and tools used professionally
D3.js
GitHub
Kubernetes
Jenkins
GitHub Actions
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Django
Laravel
Next.js
.NET
Tailwind CSS
Redis
Terraform
Mocha
Chai
Vue.js
Svelte
JavaScript
HTML5
PHP
TensorFlow
FastAPI
GraphQL
Firebase
Elasticsearch
AWS Lambda
Serverless
pytest
TestNG
OAuth2
Toolkit
SQL
LangChain
LlamaIndex
Weaviate
Playwright
Pinecone
OpenAI API
Observe
Agentic
LangGraph
Model Context Protocol (MCP)
Dynamic
Harvey
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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