Letta
Building The AI Operating System
We believe AI's future isn't just more intelligent language models, it's agents that remember, learn, and evolve over time. We're building the AI Operating System to turn stateless models into perpetual and self-improving intelligence. Letta is founded by AI researchers from UC Berkeley's Sky Computing Lab (the same lab that produced Spark ? Databricks and Ray ? Anyscale), and the creators of MemGPT. We're backed by leaders in AI and infra, including Jeff Dean (Chief Scientist at Google AI), Clem Delangue (CEO of HuggingFace), and Cris Velenzuela (CEO of Runway). Our technology is already being deployed in production to create autonomous, self-improving AI agents at companies like 11x and BILT Rewards. We're looking for incredibly talented individuals to join our team of AI researchers and engineers to create the first AI OS with human-like memory and learning capabilities. Join us and build the future of open AI, in the heart of San Francisco. Research whitepaper: Sleep-time Compute: Beyond Inference Scaling at Test-time Note that this role is in-person (no hybrid), 5 days a week in downtown San Francisco. We are building the developer stack for agents that can run in production applications, not just demo notebooks. As a Software Engineer, you will bridge the gap between bleeding-edge agent systems and production-grade software for running agents in real applications. You will help define developer APIs for agents, and lead development of our company's OSS stack as well as the hosted service. Responsibilities: Develop Letta's OSS agents framework and cloud service Design scalable & resilient backend services and APIs to support Letta Cloud Work with researchers and support bleeding-edge agent architectures in Letta Required skills: Strong proficiency with Python Strong understanding of how to architect services for security, reliability, and performance Ability to build scalable backend services Strong understanding of SQL databases (Postgres) Familiarity with tooling across the AI stack, such as inference engines (e.g. vLLM, Ollama), and LLM provider APIs (OpenAI, Anthropic) Bonus: proficient with TypeScript, React, Tailwind, etc. (the modern stack for web applications) Signs It Could Be A Great Fit:
You want to be a part of turning a tiny startup into a trillion dollar company.
You wonder what it would have been like to be at OpenAI when it was just a dozen people, or Google when it was just a couple grad students in a garage. If you work/worked at a large tech company:
you felt physically pained by the red tape and bureaucracy wedged between you and your potential impact. You're excited to go head-to-head
with tech giants, frontier labs, and other startups that are many times our size in both headcount and funding. You are against closed frontier AI
that is controlled by a few private tech companies. Signs It's A Bad Fit:
You like having things planned out far ahead of time, and get stressed out when there's nobody telling you exactly what to do.
We look for people that thrive in ambiguity and can drive their own agenda. You want to work a 9-5, and value clear separation of work from life.
The stakes are high, and the only moat is execution and velocity. We work hard because incredible outcomes require incredible sacrifice operating on a strict 9-5 guarantees failure. You value titles or want to people-manage.
Letta is a flat company where every researcher and engineer is an individual contributor. You're not interested in talking to customers, and prefer to stick to one part of the stack.
At Letta everyone on the team engages directly with our customers and works across the stack. Our Interview Process:
Initial screen (30 min) Technical screen (1-1.5 hours) Paid in-person work trial (2 days onsite in SF)
We believe AI's future isn't just more intelligent language models, it's agents that remember, learn, and evolve over time. We're building the AI Operating System to turn stateless models into perpetual and self-improving intelligence. Letta is founded by AI researchers from UC Berkeley's Sky Computing Lab (the same lab that produced Spark ? Databricks and Ray ? Anyscale), and the creators of MemGPT. We're backed by leaders in AI and infra, including Jeff Dean (Chief Scientist at Google AI), Clem Delangue (CEO of HuggingFace), and Cris Velenzuela (CEO of Runway). Our technology is already being deployed in production to create autonomous, self-improving AI agents at companies like 11x and BILT Rewards. We're looking for incredibly talented individuals to join our team of AI researchers and engineers to create the first AI OS with human-like memory and learning capabilities. Join us and build the future of open AI, in the heart of San Francisco. Research whitepaper: Sleep-time Compute: Beyond Inference Scaling at Test-time Note that this role is in-person (no hybrid), 5 days a week in downtown San Francisco. We are building the developer stack for agents that can run in production applications, not just demo notebooks. As a Software Engineer, you will bridge the gap between bleeding-edge agent systems and production-grade software for running agents in real applications. You will help define developer APIs for agents, and lead development of our company's OSS stack as well as the hosted service. Responsibilities: Develop Letta's OSS agents framework and cloud service Design scalable & resilient backend services and APIs to support Letta Cloud Work with researchers and support bleeding-edge agent architectures in Letta Required skills: Strong proficiency with Python Strong understanding of how to architect services for security, reliability, and performance Ability to build scalable backend services Strong understanding of SQL databases (Postgres) Familiarity with tooling across the AI stack, such as inference engines (e.g. vLLM, Ollama), and LLM provider APIs (OpenAI, Anthropic) Bonus: proficient with TypeScript, React, Tailwind, etc. (the modern stack for web applications) Signs It Could Be A Great Fit:
You want to be a part of turning a tiny startup into a trillion dollar company.
You wonder what it would have been like to be at OpenAI when it was just a dozen people, or Google when it was just a couple grad students in a garage. If you work/worked at a large tech company:
you felt physically pained by the red tape and bureaucracy wedged between you and your potential impact. You're excited to go head-to-head
with tech giants, frontier labs, and other startups that are many times our size in both headcount and funding. You are against closed frontier AI
that is controlled by a few private tech companies. Signs It's A Bad Fit:
You like having things planned out far ahead of time, and get stressed out when there's nobody telling you exactly what to do.
We look for people that thrive in ambiguity and can drive their own agenda. You want to work a 9-5, and value clear separation of work from life.
The stakes are high, and the only moat is execution and velocity. We work hard because incredible outcomes require incredible sacrifice operating on a strict 9-5 guarantees failure. You value titles or want to people-manage.
Letta is a flat company where every researcher and engineer is an individual contributor. You're not interested in talking to customers, and prefer to stick to one part of the stack.
At Letta everyone on the team engages directly with our customers and works across the stack. Our Interview Process:
Initial screen (30 min) Technical screen (1-1.5 hours) Paid in-person work trial (2 days onsite in SF)