Member of Technical Staff | Engineering
2 дн. назад
125k–225k USD / yearUSALead
llminfrastructureorchestrationobservabilityprototype
Build and design AI systems and infrastructure focused on LLM-powered tools and agent harnesses in a small research-driven team.
Другое
- We’re building a research lab with a real-time feedback loop.
- We’re building AI systems that expand how quickly a small research team can understand, build, and experiment.
- Our edge is the speed at which we can form ideas, build systems, run experiments, and learn from reality.
- You’ll work directly with the founders and have real ownership over what we build and how we build it.
- We’re a small team with over a decade of experience at places like Optiver, DRW, and Argo AI.
- Build LLM-powered systems and agent harnesses that help us research, engineer, and operate faster.
- Design the infrastructure around them: tools, context, memory, evals, orchestration, observability, and execution environments.
- Find new ways to turn frontier models into reliable systems that do useful work.
- Work across the stack when needed. At our size, the problem matters more than the job boundary.
- Own projects end-to-end: identify opportunities, prototype quickly, ship, measure what works, and iterate.
- You have unusually high initiative : you notice important problems, figure out what should exist, and make it happen without waiting to be told.
- You’re technically sharp and learn extremely quickly.
- You’ve built seriously with LLMs, agents, harnesses, or adjacent AI infrastructure.
- You move quickly, reason from first principles, and enjoy problems where the right architecture has not been figured out yet.
- You care more about what works in practice than following established patterns.
- Curiosity, intensity, and technical judgment matter much more to us than credentials or years of experience.
- First week: learn how we work, find something important that could be dramatically better, and start making it better.
- By 15 days: take ownership of a meaningful technical problem end-to-end, including deciding what to build and how to measure whether it works.
- By 30 days: we want you independently identifying what matters and driving projects that materially increase what the team can do.
- You’ll have the autonomy and resources to do some of the best work of your life.
- Website:
- Jobs:
- This is an on-site role based in San Francisco, CA.