Decision Engineer, Business Operations

Reposted 25 Days Ago
4 Locations
In-Office
224K-300K Annually
Mid level
Artificial Intelligence • Software
The Role
Build AI-powered internal tools and shared AI infrastructure (agents and skills), integrate LLMs with internal systems, design and ship web applications, and enable cross-functional adoption through documentation and support.
Summary Generated by Built In
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.


We hire people who care deeply about this problem space. If that is you, please apply!

How We Operate
  • Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.

  • Insane urgency. We drive everything forward as fast as possible.

  • Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

  • Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

Overview:

We are hiring AI Software Engineers to serve as an internal force multiplier, building tools that make every team member significantly more productive. In this role, you will develop and deploy AI-powered applications and establish shared infrastructure that enables teams to leverage AI effectively. You'll work directly with engineering, product, operations, and business 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 internal tools and applications leveraging frontier models to automate workflows, accelerate decision-making, and reduce manual toil across all functions

  • Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization

  • Integrate AI capabilities into existing products and internal tools, identifying where augmentation delivers measurable impact

  • Build custom integrations between LLMs and internal systems (GitHub, Slack, Notion, JIRA, Salesforce, internal APIs)

  • Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques to organizational challenges

  • Create documentation and provide support to enable teams to adopt and extend the tools you build

Requirements:
  • 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (but also the ability to work in an arbitrary language, primarily using AI coding tools to drive)

  • Strong full-stack development skills with experience 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

  • Deep understanding of AI coding agent tools including Claude Code, Cursor, Antigravity, etc., and agent frameworks around them

  • Proven ability to work autonomously (and get their agents to work autonomously for them): identifying problems, designing solutions, and shipping results with minimal direction and high impact

  • Great product and design taste: as the barrier to building gets lower, taste matters more

  • Strong systems thinking and product intuition to balance rapid iteration with building maintainable, scalable foundations that others can build off

  • Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption

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.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Skills Required

  • 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), MCP servers, and agentic frameworks
  • Deep understanding of AI coding agent tools such as Claude Code, Cursor, Antigravity and related agent frameworks
  • Experience integrating LLMs with systems like GitHub, Slack, Notion, JIRA, Salesforce, and internal APIs
  • Proven ability to work autonomously: identify problems, design solutions, and ship results with minimal direction
  • Strong product and design taste to build usable, maintainable tools
  • Strong systems thinking and product intuition to balance rapid iteration with scalable foundations
  • Excellent communication skills to translate technical concepts for non-technical stakeholders
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The Company
HQ: London
30 Employees
Year Founded: 2017

What We Do

Instantly reserve dedicated clusters of NVIDIA H200s and GB200s for any scale to supercharge your training and inference workflows.

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