Inference is just one piece of an effective background agent. Let's design and build the rest of the system, that turns billions of tokens into the best possible answers.
What you'll do- Design custom evals for multi-turn, massively parallel agents.
- Build agent harnesses to improve open model (Deepseek, Qwen, Llama) performance. Claude Code is all about agent/harness codesign; let's do the same for open source!
- Automate prompt optimization techniques like DSPy.
What we're looking for- Experience building AI agents.
- Familiarity with open source models.
Interview process- Meet the CTO, who will ask about your experience, and share as much technical detail about Sail as you want to hear. This is the first step because we respect your time.
- We'll give you a take-home assignment that challenges you to work with agents in a systematic way, and evaluate them clearly and objectively
- Come in to Sail's SF office for an interview day. Meet the whole team, then present your work, including your process, learnings, and results.
- Offer. Once the team decides we want to work with you, we make a strong offer quickly and will be quite persistent over email/text/calls :)
Life at SailWe work out of a beautiful, sunny office in downtown San Francisco. All meals are on us (and actually great; SF is a food paradise and it would be a shame to eat only bowl slop). Everyone gets a Studio Display at their desk. We are serious about investing in anything that saves us time or energy. There are six different ways to make coffee or tea in the office. A friendly (hypoallergenic) black cat named Coco visits occasionally.
