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.

The Senior AI Engineer will design, build, and optimize production AI systems, focusing on backend modules, retrieval infrastructure, and deployment processes. Responsibilities include working on complex client requirements, ensuring accuracy in data retrieval, and maintaining production systems, all while contributing to internal tools to enhance future projects.