Decision Engineer, Infrastructure Development & Delivery

Fluidstack; Seattle (WA); On-site; USD 208,000 - 269,000; Full time

Benefits offered by this job

Cash equity

Health insurance

Retirement plan

Generous PTO

Job summary

Fluidstack is hiring Decision Engineers (AI Software Engineers) to build AI-powered decision systems for infrastructure development and delivery. Join a team that transforms workflows by creating tools that boost productivity across the company.

As part of Decision Engineering, you’ll own projects end to end, design AI infrastructure, and ship integrations with internal systems. The role emphasizes autonomy, impact, and rapid iteration in a fast-paced environment.

Qualifications

• 3 years of software engineering experience with production-grade code in Go, Python, and TypeScript.
• Strong full-stack development skills building web applications (React, Next.js, or similar).
• Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models).
• Daily, demonstrable use of AI coding agents with concrete examples of tools and skills you have built.
• Proven ability to work autonomously: identifying problems, designing solutions, and shipping results with minimal direction and high impact.
• Strong product and systems judgment, comfortable with ambiguity and a demanding pace.
• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.

Responsibilities

• Build decision systems and internal tools leveraging frontier models that make infrastructure development and delivery workflows significantly more productive.
• Own tools end to end, from conception through production, iterating directly with the people who use them.
• Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization.
• Build custom integrations between LLMs and internal systems (Slack, GitHub, internal APIs, operational data).
• Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques.

Skills

Go

Python

TypeScript

Full-stack development

LLM APIs

Job description

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

Overview

We are hiring Decision Engineers (AI Software Engineers) for the Infrastructure Development & Delivery team within Decision Engineering, building decision systems for infrastructure development and delivery workflows. Decision Engineers serve as an internal force multiplier, building AI-powered tools and decision systems that make every team member significantly more productive. You'll work directly with the infrastructure development and delivery teams to identify high-impact opportunities for AI augmentation, then ship tools that drive measurable productivity gains. This is a unique opportunity to define how a fast-growing infrastructure company integrates AI into every aspect of its operations.

Responsibilities

• Build decision systems and internal tools leveraging frontier models that make infrastructure development and delivery workflows significantly more productive
• Own tools end to end, from conception through production, iterating directly with the people who use them
• Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization
• Build custom integrations between LLMs and internal systems (Slack, GitHub, internal APIs, operational data)
• Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques

Requirements

• 3 years of software engineering experience with production-grade code in Go, Python, and TypeScript (and the ability to work in an arbitrary language, primarily driving AI coding tools)
• Strong full-stack development skills building web applications (React, Next.js, or similar frameworks)
• Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks
• Daily, demonstrable use of AI coding agents (Claude Code, Cursor, or similar) with concrete examples of tools and skills you have built
• Proven ability to work autonomously: identifying problems, designing solutions, and shipping results with minimal direction and high impact
• Strong product and systems judgment, comfortable with ambiguity and a demanding pace
• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and drive adoption
• Nice to have: exposure to data center delivery, construction, or infrastructure operations tooling

Benefits

• Competitive total compensation package (cash equity)
• Health, dental, and vision insurance
• Retirement plan
• Generous PTO policy

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Compensation Range: $208K - $269K