Zep

Designing and shipping backend services, building agent-facing capabilities, and improving production system quality. | Strong backend experience with high throughput, AWS operations, and familiarity with agent systems, with additional skills in Go and Python being desirable. | Zep is a context engineering platform for AI agents. We help developers build personalized, reliable AI applications by assembling the right context from chat history, business data, and user behavior. We’re hiring a Staff Engineer to own core backend architecture and execution. This role is for someone who can design and ship low-latency systems at scale, operate them in production on AWS, and build agent-facing capabilities that hold up in high-throughput environments. Responsibilities - Ship end-to-end product features: backend services, APIs, data flows, and the supporting UI where needed. - Build and operate agent-facing capabilities: workflows, tooling, evaluation harnesses, and reliability improvements for real agent systems. - Own and collaborate on system design and implementation for new components: make pragmatic architecture decisions, document them, and iterate. - Improve production quality: performance, observability, and operational runbooks on AWS. Requirements - Strong backend systems background. You’ve designed and shipped production services with high throughput and strict latency targets. - Go and Python experience in real systems. You can own critical-path code and performance work. - Agent building experience: you’ve built agentic applications end-to-end and understand reliability, evaluation, and failure modes in production. - Hands-on AWS experience operating production systems (deployments, monitoring, scaling, cost and reliability tradeoffs). Nice to have - TypeScript experience (frontend or SDK work).