Teams at Cadre AI

Triage AI opportunities, shape technical solutions, write precise SOWs and internal handovers, identify reuse vs. new engineering, and coordinate sales and engineering to deliver scoped AI engagements (5–10 concurrently, 30–45 day cycles). Ensure delivery-ready documentation and flawless handoffs to implementation teams.

Build and deploy production LLM systems: backend AI modules, RAG pipelines, agentic workflows, and scalable infrastructure. Own end-to-end delivery, optimize retrieval accuracy and latency, implement IaC and containerized deployments, write tests and observability, and abstract reusable internal tools to accelerate future client work.

Design, develop, and deploy production AI systems (RAG, LLM agents, document intelligence, conversational AI). Build robust pipelines, optimize prompts and models, manage data and ETL, deploy on cloud, monitor and iterate, and collaborate with product and client teams to deliver reliable, scalable AI solutions.