Design and operate production-grade data pipelines, backend services, APIs, and agentic AI workflows. Build scalable systems that ingest, transform, and operationalize data for customer-facing and internal applications. Translate ambiguous operational workflows into reliable architectures, improve service observability and performance, and own technical decisions across data modeling, system design, security, and compliance.

Build and scale production agentic AI systems for a regulated fintech platform. Responsibilities include architecting AI infrastructure, improving context, memory and state management, developing evaluation systems, integrating AI features with TypeScript and Node.js, enforcing security and privacy controls, and establishing AI-native engineering practices. The role requires reliable, production-scale AI experience and comfort working in a fast-moving startup environment.