Prodigal
Prodigal builds a SaaS AI platform for consumer finance lenders and debt-collection operations to analyze conversations, guide agents, and automate compliance and recovery workflows. The company serves enterprises across North America with products for speech analytics, interaction intelligence, and collections optimization. Founded in 2018 and headquartered in Mountain View, California, Prodigal is privately held.
Open Positions at Prodigal
6 open positions
Applied AI Engineer building autonomous voice agents for live financial conversations. The role combines agent reasoning, real-time voice systems, LLM orchestration, prompt engineering, and production debugging.
Build and deploy the ML systems behind Prodigal’s autonomous AI agents for live loan-servicing and collections conversations. You’ll train and integrate LLMs, develop evaluations and monitoring, and own major technical areas in a high-impact team.
The DevSecOps Engineer will secure and operate Prodigal’s AWS, Kubernetes, CI/CD, and AI/ML infrastructure at production scale. This hands-on role combines cloud security ownership with GPU workloads, model serving, observability, and cloud cost optimization.
Own the deployment of AI agents from signed contract through production launch and continuous improvement for financial-services customers. This customer-facing role combines business discovery, technical implementation, agent validation, project governance, and post-go-live performance ownership.
Build and deploy production LLM-powered and voice AI agents for financial institutions, owning their lifecycle from design through monitoring and iteration. The role combines hands-on AI application engineering with direct customer collaboration.
Own security and reliability across AWS, Kubernetes, CI/CD, and AI infrastructure at production scale. This hands-on role combines DevSecOps ownership with GPU workloads, model serving, and real-time voice AI operations.