Software Engineer, AI Automation

Fluidstack builds large-scale compute infrastructure for frontier AI and develops software to accelerate its delivery and operation. The Software Engineer, AI Automation will build AI-powered systems for hiring, finance, capital planning, contract analysis, and operational workflows, working closely with non-engineering experts to automate complex processes.

Responsibilities

• Build the hiring machine as software. Hiring is the company's biggest bottleneck. Every role, seat, and interview loop already lives in one graph, and you take it the rest of the way: the recruiting system synced both directions, interviewer supply and load visible to every hiring manager, and onboarding generated the moment an offer is signed, so day one starts with the job instead of the checklist
• Build the cash view the company runs on: today no system derives near term spend, so finance forecasts by hand and misses what construction already committed. You turn purchase orders, contract terms, and build milestones into an order schedule, a cash demand curve by month, and a payment schedule that recompute as procurement and construction move
• Build one capital pipeline from approved budget to released capital to spent dollar, gated on build milestones the delivery system already verifies, with the proof chain behind every financing drawdown assembled automatically, so releasing nine figures takes a day of judgment and funding follows construction within days
• Parse every MSA, change order, and side letter into obligations, prices, deadlines, penalties, and SLAs, so a delivery lead gets what we owe a customer at a site with the clause attached, a change order arrives with its legal and finance checks done, and the corpus of executed deals prices the next negotiation
• Embed forward-deployed with finance, treasury, accounting, legal, and people teams through a close, a drawdown, a negotiation, and a hiring loop, and turn their approvals, contract terms, screens, and reconciliations into structured data and generated work, including a continuous close where capitalization and depreciation post as events the moment they happen

Preferred

• Bonus: 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
• ERP
• Fixed asset accounting
• FP&A
• Cash forecasting
• Capital planning
• Structured finance
• Treasury operations
• Contract lifecycle systems
• ATS integrations
• HRIS integrations
• Ashby
• Greenhouse
• Rippling
• Workday
• LLM document extraction
• Legal document analysis
• Financial document analysis

Benefits

• Equity
• Health, dental, and vision insurance
• Retirement plan
• Generous PTO policy

Company

• AI compute infrastructure for labs, governments, and enterprises
• New York, New York, USA
• https://www.fluidstack.io/
• Founded in 2017
• 501-1000 employees

Qualifications

• You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands
• You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks
• You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you
• You identify problems, design the solution, and ship it without waiting for direction or approval
• You've moved fast under deadline while leaving foundations that other engineers extended after you moved on
• You've earned credibility with experts outside engineering: finance leads, lawyers, recruiters, or auditors, and driven adoption of your software inside their real deadlines, like a working close calendar or an offer that has to go out today
• Your product taste shows in what you've shipped: a controller, a recruiter, or a lawyer calls your interface obvious, and the workflow matches how their work actually happens
• Bonus: 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

Required skills

• Agentic AI Frameworks, Capital Planning, Cash Forecasting, Claude Code, Cursor, ERP and Fixed Asset Accounting, FP&A, Go, LLM APIs, Model Context Protocol (MCP) Servers, Python, TypeScript