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 re-imagining the developer experience for building, deploying, and interacting with advanced AI agents. We believe the true potential of AI can only be reached if developers are given the tools to deeply understand how their agents are working through open AI systems and innovative product design. We are creating a developer experience that prioritizes:
Transparency: We don’t believe in trying to hide the inner workings of agents (unlike closed AI companies) or trying to impose unnecessary abstractions: instead, we focus on providing tools to help developers understand exactly how their agents are interfacing with LLMs (e.g. what exactly is being placed into the LLM context window and why).
Control: Developers should have granular control of model backends, memory, cross-agent communication, and tools - but getting starting and integrating end applications should be simple and seamless.
Experience: LLMs are an incredible technology, and working with LLMs should be a joyful and exciting experience. We care deeply about building best-in-class products that are beautifully designed.
As a product engineer, you will help build, design and define how developers will interface with our agent framework through our application surfaces:
Our Agent Development Environment, a visual interface for designing agents and tools, distributed on the web and desktop on MacOS and Windows.
Our application SDKs that enable developers to build full-stack agent apps with 5 lines of code.
Our Cloud Platform, that enables seamless deployment, monitoring and testing of agents in production with zero infrastructure setup.
You will work closely with designers, researchers, and the founders to build the visual interfaces for innovative agent functionality (e.g. multi-agent collaboration, memory, voice, etc.). You will interface closely with customers and Letta’s active open source community to understand their agent use-cases and how the developer experience can be improved.
Skills:
Strong frontend development skills (React)
Experience with fullstack development, including API design, interacting with DBs (Postgres, Redis), and crafting user experiences
Proficiency with backend development (Next.js, Node, Typescript, Bonus: Python)
Excellent communication skills to interface with designers and customers
You are a good fit for this role if:
You enjoy interacting directly with developers and customers
You care deeply about developer experience
You are excited about what AI agents will be able to do
You love learning about how agents and LLMs work under the hood
Examples of what you might work on:
Visualizing cross-agent communication for multi-agent groups
Designing a workflow for versioning agent templates
Rendering raw input and output tokens for each LLM invocation
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.
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.
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.
Onsite (full-day, in-person): As the final step in the interview process, we’ll simulate working together as closely as possible by giving you a realistic task to work on for a day. 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.