Vetted Software Engineers in Remote

Chase Bradley

Screened ReferencesModerate rec.

Staff AI Engineer specializing in LLM systems, retrieval, and ML infrastructure

Remote10y exp

“ML/LLM engineer from Cohere who has owned retrieval, reranking, agentic workflows, and internal evaluation infrastructure end-to-end in production. Particularly strong in turning brittle RAG and research-heavy ideas into scalable enterprise systems with grounded outputs, lower customer escalations, and adoption by major clients like Notion and Fujitsu.”

“Full-stack engineer with recent startup experience building AI automation products end to end, from React/Next.js interfaces to Python/FastAPI services and Dockerized deployment. Particularly strong in reliability, observability, and workflow tooling for non-technical business users, with additional experience optimizing database-backed monitoring systems at Meta.”

“Unity/C# gameplay engineer with rare depth at the intersection of MR, multiplayer, and generative AI, including work on Meta Quest experiences such as First Encounters. They have architected real-time AI content pipelines, integrated LLM/VLM systems into Unity via Python/REST orchestration, and solved hard production problems around Quest performance, networking, and player experience.”

“Front-end/product engineer with strong financial-domain experience, including browser-based interfaces for retail planning, sales forecasting, and high-throughput trading data. Stands out for combining UI engineering with machine learning, time-series prediction, browser performance optimization, and functional programming across tools like React, TypeScript, Elm, OCaml, and Scala.”

“Software engineer with experience across early-stage startups and production full-stack systems, including migration work from a Go monolith to a Node.js backend and a clinical research application deployed on Kubernetes in AWS. Has worked across Go, Python, JavaScript/TypeScript, React, SQL databases, and B2B SaaS data-streaming products.”

“Engineering/product leader with repeated experience defining roadmaps and delivering platform migrations across SaaS and enterprise contexts. Scaled an education system from two districts to 2M+ students statewide, and led an Elasticsearch-based architecture for an internal Disney product serving ~100K employees. Known for rigorous execution (RAID/OKRs/sprints), strong stakeholder communication (weekly AI summaries), and empowering teams via end-to-end ownership and customer-connected development.”