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Join a high-agency team building the Context Lake for AI agents.
Agents are limited by what they remember. Most memory systems see only the conversation in front of them — not the user, the business, or the work that came before.
Zep changes that. We build the infrastructure that lets agents remember and reason across every source they touch: chat, documents, events, business data. The Context Lake is governed and temporal, and scales to millions of context graphs per deployment.
Plus angels at industry-leading companies including Vercel, Google, and Airtable.
Open positions from Work at a Startup.
San Francisco, United States / Remote (US)
Zep is the memory and context layer for AI agents. As a Senior Applied Research Engineer, you'll explore novel approaches to memory, context, and context generation, then own those ideas all the way to production.
This is a research role with a hard applied bent. We're not hiring ML researchers chasing publications. We're hiring engineers who can run rigorous experiments, train and evaluate models, and ship the result as production code our customers depend on.
How we work
We're a small, distributed team that works closely together. We pair on hard problems, review each other's designs, and treat learning as part of the job rather than something that happens after hours. We ask a lot of questions: of customers, of teammates, of our own assumptions. When we find pain, we go fix it.
We expect the same back: ask questions early, push back when you disagree, and care about the people on the other end of the API.
What you'll do
What we're looking for
Nice to have
Tech stack: Python, Rust/C++/Go, PyTorch, vLLM/SGLang, AWS.
This role is probably NOT a fit if:
We respect your time and keep our interview process tight and focussed.
Screening Call (w/ Daniel, our Founder) → Team Calls (2-3 hours back-to-back, may include a presentation) → Decision Call (Daniel, again)
San Francisco, United States / Remote (US)
Zep is the memory and context layer for AI agents. As a Senior AI Engineer, you'll build low-latency backend systems, operate them in production on AWS, and ship LLM-powered capabilities our customers depend on.
You'll have the opportunity to work on Graphiti (25K+ GitHub stars), Zep’s popular open-source context graph framework.
This is a senior backend role centered on running LLM workloads at significant scale. We're not hiring ML researchers or data scientists. We're hiring engineers who have already lived through the messy reality of taking an LLM application from demo to production.
How we work
We're a small, distributed team that works closely together. We pair on hard problems, review each other's designs, and treat learning as part of the job rather than something that happens after hours. We ask a lot of questions: of customers, of teammates, of our own assumptions. When we find pain, we go fix it.
We expect the same back: ask questions early, push back when you disagree, and care about the people on the other end of the API.
What you'll do
What we're looking for
Nice to have
Tech stack: Go, Python, TypeScript, AWS.
This role is probably NOT a fit if:
We respect your time and keep our interview process tight and focussed.
Screening Call (w/ Daniel, our Founder) → Team Calls (2-3 hours back-to-back, may include a presentation) → Decision Call (Daniel, again)
At Zep, we move quickly when we spot talent.
A short call with Daniel, our founder.
How well you fit our collaborative, team-focused environment.
A one-on-one on your role, goals, and contributions to Zep's growth.