Teams at Prodigal

Build and deploy production LLM-powered AI and voice agents. Own AI system lifecycles from scoping and design through deployment, monitoring, evaluation, and iteration. Optimize prompts, RAG pipelines, and evaluation frameworks for accuracy, latency, and reliability. Collaborate directly with customers and implementation teams to understand workflows, solve problems, and support successful launches.

Build and deploy production LLM-powered AI and voice agents, owning systems from scoping and design through deployment, monitoring, evaluation, and iteration. Optimize prompts, RAG pipelines, and reliability frameworks while collaborating directly with customers and implementation teams to solve workflow challenges and drive successful launches.

Owns end-to-end deployment of AI agents for financial-services customers, from discovery and technical scoping through testing, go-live, incident resolution, and continuous improvement. The role maps customer workflows and technology stacks, translates requirements for engineering, validates agent performance, manages multiple concurrent deployments, coordinates vendors, tracks KPIs, and serves as the primary customer escalation point.