# Member of Technical Staff

**Company:** [Fluidstack](https://hotfix.jobs/companies/fluidstack)
**Location:** San Francisco, CA, New York, NY, Seattle, WA, Austin, TX
**Role:** Backend Engineering
**Salary:** $150k – $250k/yr
**Skills:** LLM APIs, Mcp Servers, Agentic Frameworks, Claude Code, Cursor, Go, TypeScript, Postgres, Temporal, Cadence, Airflow, Kmz, Gis, Revit, Ifc
**Posted:** 2026-06-11

> Build core primitives for entity ownership, audit, authorization, and orchestration. Own domain models for power, datacenters, and chips while enabling AI agents to safely operate production systems.

## Job Description

## Role Scope
- Build core primitives end to end: entity ownership, audit, authorization, orchestration. 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
- Move toward ambiguity, not away from it. Walk into the fog, build the map, and explain it to everyone else.
- Learn at a steep slope. Reach real competence in an unfamiliar domain fast (workflow engine, authz model, geospatial format). Value this over existing expertise.
- Have taste in abstraction. See the one primitive hiding under five janky one-offs, and know when not to abstract.
- Model domains with rigor earned the hard way. Gotten it wrong, felt the pain, and never forgot it.
- Pull structure out of mess. Done real work turning messy, unstructured data into something usable, in ML, data engineering, or research.
- Fluent with AI tooling: LLM APIs, MCP servers, and agentic frameworks; drive Claude Code, Cursor, or similar every day.
- Shipped production code that other people depend on; 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.
- Base salary range: $150,000 - $250,000 per year, depending on experience, skills, qualifications, and location. Total compensation may also include equity in the form of stock options.

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**Apply:** https://hotfix.jobs/jobs/19b2f21a-3aa3-4017-b6a5-86371fd00a92
**Canonical:** https://hotfix.jobs/jobs/19b2f21a-3aa3-4017-b6a5-86371fd00a92