Teams at Cadre AI

Lead and mentor a San Diego engineering team while staying hands-on building production LLM systems (RAG, agents, document processing). Drive architecture, evaluate models and tooling, own end-to-end delivery, collaborate with clients, and create reusable internal tooling and best practices to improve team performance and client outcomes.

Lead client discovery, define and prioritize AI use cases, analyze workflows, and design AI prototypes and process improvements. Collaborate with engineers to deliver solutions, manage project timelines and quality, train clients, support adoption, gather feedback, and iterate on outcomes. The role also requires tracking project progress, time, utilization, and efficiency across multiple client engagements.

Build and deploy production AI systems, including backend AI modules, agentic workflows, advanced RAG pipelines, vector database solutions, and retrieval infrastructure. Own infrastructure, containerized deployments, testing, observability, cost monitoring, and production reliability. Abstract reusable internal tools across client engagements, optimize AI systems for accuracy, latency, and cost, and collaborate closely with AI strategists to deliver client solutions.