via Gem
$120K - 200K a year
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).
This job posting was last updated on 1/9/2026