$200,000 to $250,000 Salary + high Equity
Come join a Founding team that is building the Agentic Workflow layer, redesigning how enterprises can manage and deploy multi-agentic applications at scale.
This is a team of researchers & engineers from Meta, Google, Qualcomm and Nokia Bell Labs, plus notable Professors from UT Austin, who have worked on complex multi-agent environments and seen first‑hand the challenges across deployment in the space.
Responsibilities:
- Translate ML Systems research into the go-to software for multi-agent management
- Build, iterate and deploy agentic models & workflows into real production environments
- Design novel approaches to customer problems for AI agents to run & scale efficiently
Requirements:
- MS in Comp Sci or higher
- 2+ years industry experience - focused on ML Systems, model deployment & serving
- Strong knowledge of the inference stack and cloud & modern computing clusters
- Comfortable navigating ambiguity and impacting early direction
Why apply:
- Opportunity to join a fast-growing core team that will embed real impact into frontier teams
- Competitive salary and founding-level equity + scope
- Work alongside ambitious team and network with industry leaders in AI infrastructure