Product Engineer, AI

Fluidstack•Austin, TX

10d•$224,000 - $300,000

About The Position

Fluidstack is building civilization-scale infrastructure for AI, aiming to deliver 10 to 100s of GWs of compute faster than anyone else. The company is focused on making humanity more free by ensuring AI is aligned with human goals. They are looking for individuals who care deeply about this problem space and operate with autonomy, urgency, first principles thinking, and a passion for building impactful technology. The company emphasizes speed and scale as key differentiators in delivering AI infrastructure. The Decision Team at Fluidstack works on critical problems such as automating the delivery of gigawatts by transforming processes into software, forward-deploying alongside experts to turn their judgment into systems, and ensuring every supercomputer is delivered faster than the last by leveraging a shared knowledge graph for lessons learned.

Requirements

Shipped production code in Go, Python, or TypeScript, and ability to pick up other languages.
Built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks.
Daily use of AI coding tools like Claude Code and Cursor, and experience with agents performing autonomous tasks.
Ability to identify problems, design solutions, and ship them independently without waiting for direction.
Experience moving fast under deadline while leaving extensible foundations for other engineers.
Credibility earned with non-engineering experts (finance, legal, recruiters, auditors) and driving software adoption within their real deadlines.

Nice To Haves

ERP and fixed asset accounting.
FP&A, cash forecasting, and capital planning.
Structured finance or treasury operations.
Contract lifecycle systems.
ATS and HRIS integrations (Ashby, Greenhouse, Rippling, Workday).
LLM extraction over legal and financial documents.

Responsibilities

Build the hiring machine as software, encompassing recruiting systems, interviewer supply and load visibility, and automated onboarding.
Develop the company's cash view by transforming purchase orders, contract terms, and build milestones into an order schedule, cash demand curve, and payment schedule.
Construct a capital pipeline from budget approval to released capital to spent dollar, gated on build milestones and automatically assembling proof chains for financing drawdowns.
Parse legal and financial documents (MSAs, change orders, side letters) into structured data including obligations, prices, deadlines, penalties, and SLAs.
Embed with finance, treasury, accounting, legal, and people teams to convert their approvals, contract terms, and reconciliations into structured data and generated work, enabling a continuous close process.