Our background

Letta is a company founded around the MemGPT project (13k+ GitHub stars). The founding team comes from the same research lab and PhD advisors at Berkeley that produced Spark (→ Databricks) and Ray (→ Anyscale). We have deep expertise in both AI and systems, are currently hiring a founding team of exceptional engineers to join us in building the next generation of LLM agent technology.

👾 You can read more about Letta on TechCrunch and our blog.

At Letta, we are building the platform for stateful agents. Letta’s OSS framework allows developers to create stateful agents with memory and reasoning, while Letta cloud makes it possible to deploy agent services with zero infrastructure.

As a platform engineer at Letta, you will be responsible for the infrastructure that supports Letta’s cloud service (currently in a private-beta) - ensuring that it is scalable, secure, and deployed with proper monitoring You will also work closely with enterprise customers deploying Letta on their own cloud infrastructure, and also help document best practices for open source developers to be able to configure their own Letta deployments.

Responsibilities

• Engineer and maintain Letta’s cloud infrastructure

• Build out observability and logging infrastructure for Letta cloud

• Develop and maintain on-prem / BYOC deployments for enterprise customers

• Manage CI/CD pipelines for deployment and testing

Skills

• Proficiency with cloud infrastructure (AWS, Azure, GCP) with an understanding of cloud networking, security, and cost optimization

• Experience with IaC (Terraform)

• Experience Kubernetes and familiarity with K8 deployment and configuration (e.g. Helm charts, configuring autoscaling)

• Familiarity with observability and monitoring tools such as Sentry, Prometheus, Grafana, or other similar technologies

• Experience with developing cloud services (preference for Python)

Our hiring process

We are hiring a small, tight-knit team of exceptionally talented founding engineers. Every hire matters, so we take the hiring process very seriously.

1. Initial phone interview (30m video call): We want to learn more about your background, your skills, your opinions on open source AI, and why you want to work at an early stage AI startup.

2. Technical take-home (<1hr assessment): To get a better sense of your skillset, we’ll give you an example problem to work that’s as targeted to your potential day-to-day work as possible.

3. Paid workday (in-person recommended): As the final step in the interview process, we’ll simulate working together as closely as possible by giving you a real (or as close to real as possible) task to work on for a day - and paying for your time of course. If you live in the Bay Area, we highly recommend visiting our offices in-person! We’re an in-person company, so working at our office will give you a great idea of what it will be like to join as a full-time member of the team.