Decision Engineer, Infrastructure Development & Delivery

Fluidstack is building civilization-scale compute infrastructure for AI by acquiring power, designing and building data centers, and operating them. The Decision Engineer will build AI-powered decision systems and internal tools for the Infrastructure Development & Delivery team, owning solutions from conception through production. The role also involves developing shared AI infrastructure, integrating LLMs with internal systems, and identifying opportunities to improve productivity through emerging AI techniques.

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
• exposure to data center delivery, construction, or infrastructure operations tooling