KastleSan Francisco, CAArchitects and owns core backend systems for real-time AI voice agents in consumer lending, focusing on low-latency performance, scalability with Kubernetes, and self-improving AI. Requires strong Python backend expertise and distributed systems knowledge.
Software Engineer building core backend systems for a high-volume AI talent marketplace, including matching, allocation, search, and real-time decisioning infrastructure. Requires strong production backend experience with high-throughput APIs and distributed systems.
Builds secure, scalable backend systems for contracts, payouts, fraud detection, and identity/access management on Mercor's AI platform. Requires 4+ years experience with production systems at scale and strong ownership.
Builds backend systems for fraud detection, identity verification, and abuse prevention at scale. Partners with product/engineering on roadmaps; requires 4+ years software engineering experience, strong backend fundamentals, and autonomous problem-solving in ambiguous spaces.
Builds and maintains a production GraphQL API modeling complex, nonlinear mortgage processes. Designs event-driven systems, semantic models, and developer-friendly abstractions using TypeScript, NestJS, and Temporal.io.
Builds backend systems to automate mortgage underwriting by encoding regulatory rules into precise, AI-enhanced code. Collaborates with experts using TypeScript, NestJS, GraphQL, and custom DSLs for high-stakes lending decisions.