Member of Technical Staff

Fluidstack

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

Qualifications

  • 5-7 years in software development and modeling domains.
  • Experience in constructing core software primitives and data models.
  • Proficient in handling interactions with external systems using various data formats.
  • Strong background in AI tooling and using LLM APIs for development.
  • Ability to transform unstructured data into clean, usable outputs.
  • Familiarity with programming languages and tools associated with AI coding.
  • Experience in shipping production-level code relied upon by teams.

Responsibilities

  • Build core software primitives and define ownership processes.
  • Own and develop the domain model for Fluidstack's operational components.
  • Define and manage interfaces with vendor systems and data formats.
  • Develop systems that enable AI agents to operate within a structured environment.
  • Provide clear documentation and mapping of complex concepts for team understanding.
  • Transform and streamline messy data sets for effective use in applications.
  • Ensure rigorous domain modeling through learned experience and methodology.

Benefits

  • Competitive compensation package including salary and equity.
  • Retirement or pension plan aligned with local standards.
  • Health, dental, and vision insurance coverage.
  • Generous paid time off 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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