Supply chain automation: Interfaces where ordering 10,000 GPUs and all supporting components feels like opening a GitHub pull request.
Capacity forecasting and scheduling: systems that model build timelines, predict bottlenecks, and drive schedules across dozens of concurrent projects
Internal AI infrastructure: shared agent frameworks, skill libraries, and integrations with the platforms the company runs on, including project management, source control, construction software, messaging, CRM, and internal APIs, so every team at Fluidstack can build with AI, not just engineers
Operational automation: workflow orchestration and self-service tooling that eliminates manual toil across operations and engineering
Datacenter design & validation: Applications that generate, simulate, and validate AI infrastructure layouts, power topologies, and cooling configurations.

5+ years of software engineering experience shipping production code in Go, Python, or TypeScript, and the ability to work in any language, primarily using AI coding tools to move fast.
Hands-on experience building with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and working with agentic frameworks.
Deep fluency with AI coding tools including Claude Code, Cursor, etc. and the ability to get agents to work autonomously alongside you.
Proven ability to work with high autonomy: identifying problems, designing solutions, and shipping results with minimal direction. You are a barrel, not a passenger.
Strong systems thinking to balance rapid iteration with building foundations others can extend.
Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption
Great product and design taste: as the barrier to building gets lower, taste matters more

Team size: small. Structure: flat

Fluidstack is hiring a Product Engineer