Member of Technical Staff

Fluidstack

$150K — $250K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in complex system architecture and design
  • Strong problem-solving skills in ambiguous situations
  • Proficiency in data modeling and creating domain abstractions
  • Experience converting unstructured data into usable formats
  • Fluency with AI tools and technologies, including LLM APIs
  • Comfortable shipping production code in multiple languages
  • Bonus: experience with MLE, geospatial/BIM formats, and authorization systems.

Responsibilities

  • Build core technologies related to entity ownership and authorization
  • Own and develop the domain model for fluid data management
  • Interface with external vendor systems and ingest domain-specific formats
  • Enable AI agents to operate autonomously within defined systems
  • Conduct rigorous domain modeling to address complexity and maintainability

Benefits

  • Competitive total compensation package including equity
  • Retirement or pension plan
  • Comprehensive health, dental, and vision insurance
  • Generous PTO policy
Full Job Description
Role Scope
  • Build core primitives end to end. Entity ownership, audit, authorization, orchestration. You make the right thing the default and the wrong thing hard.
  • Own the domain model. Turn Fluidstack's world of power, datacenters, and chips into composable entities that still hold up years from now.
  • Define interactions with the outside. Interface with vendor systems and ingest the formats our domain actually speaks: KMZ, BIM, Revit, vendor docs.
  • Make AI agents first-class operators of our systems. Give them the tools, guardrails, and audit trails to act safely, not just advise.
What We're Looking For

The following is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
  • You learn at a steep slope. You reach real competence in an unfamiliar domain fast, whether it's a workflow engine, an authz model, or a geospatial format. We value this over existing expertise.
  • You have taste in abstraction. You see the one primitive hiding under five janky one-offs, and you know when not to abstract.
  • You model domains with rigor earned the hard way. You've gotten it wrong, felt the pain, and never forgot it.
  • You pull structure out of mess. You've done real work turning messy, unstructured data into something usable, in ML, data engineering, or research.
  • You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
  • You've shipped production code that other people depend on, and you're comfortable in any language using AI coding tools.
  • Bonus: MLE work, especially extraction and synthesis from unstructured data. Workflow and orchestration engines (Temporal, Cadence, Airflow). Geospatial (KMZ/GIS) or BIM (Revit, IFC). Authorization and policy engines (OPA, Zanzibar-style, RBAC/ABAC). Audit or event-sourcing systems. Go, TypeScript, and Postgres.


Salary & Benefits
  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.

The base salary range for this position is $150,000 - $250,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

We are committed to pay equity and transparency.

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