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FluidStack

Builds and runs GPU clusters for AI labs

Software Engineer - Applied AI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Move toward ambiguity and develop clear maps of unfamiliar problem spaces.
  • Learn unfamiliar domains quickly, including workflow engines, authorization models, and geospatial formats.
  • Demonstrate sound judgment in choosing abstractions and knowing when not to abstract.
  • Have experience rigorously modeling domains and learning from prior modeling mistakes.
  • Have experience transforming messy, unstructured data into usable forms in machine learning, data engineering, or research.
  • Be fluent with AI tooling, including large language model APIs, Model Context Protocol servers, and agentic frameworks; use Claude Code, Cursor, or similar tools regularly.
  • Have shipped production code that other people depend on and be comfortable working in any programming language using AI coding tools.

Responsibilities

  • Build core primitives end to end, including entity ownership, audit, authorization, and orchestration.
  • Own the domain model, turning the company’s power, data center, and chip domains into composable entities.
  • Define interfaces with vendor systems and ingest formats such as KMZ, building information modeling, Revit, and vendor documents.
  • Make AI agents first-class operators of the systems by providing tools, guardrails, and audit trails for safe action.

Desired Qualifications

  • Machine learning engineering work, especially extraction and synthesis from unstructured data.
  • Experience with workflow and orchestration engines such as Temporal, Cadence, or Airflow.
  • Geospatial experience, including KMZ or geographic information systems, or building information modeling experience such as Revit or IFC.
  • Experience with authorization and policy engines such as Open Policy Agent, Zanzibar-style systems, or role-based or attribute-based access control.
  • Experience with audit or event-sourcing systems.
  • Experience with Go, TypeScript, and PostgreSQL.

About the Company

FluidStack

Builds and runs GPU clusters for AI labs

Fluidstack provides large clusters of GPU servers to AI labs training advanced models, and it builds custom data centers for customers that outgrow existing facilities. In 2025, Anthropic chose Fluidstack to build data centers in Texas and New York as part of a $50 billion investment in American AI infrastructure. Labs pay for dedicated clusters of Nvidia GPUs, sometimes tens of thousands of chips, housed in partner data centers around the world. They reach the clusters through a web console or API, while Fluidstack runs the hardware, networking, and day-to-day operations. Fluidstack was founded in London in 2017 and has its headquarters in New York.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$12.4B
Headquarters
New York City, New York
Founded
2017

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