Build core primitives, domain models, and AI agent platforms for AI infrastructure projects. Own entity ownership, audit, authorization, and orchestration while interfacing with vendor systems and geospatial/BIM formats.
150k – 250k/yr
Hybrid5+ YOEFullstack Engineering
About the role
Role Scope
Build core primitives end to end: entity ownership, audit, authorization, orchestration
Own the domain model: turn Fluidstack's world of power, datacenters, and chips into composable entities
Define interactions with the outside: interface with vendor systems and ingest formats (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
What We're Looking For
Move toward ambiguity, build the map, and explain it to others
Learn at a steep slope and reach real competence in unfamiliar domains fast
Have taste in abstraction; see the one primitive hiding under five janky one-offs
Model domains with rigor earned the hard way
Pull structure out of mess: turn messy, unstructured data into something usable (ML, data engineering, or research)
Fluent with AI tooling: LLM APIs, MCP servers, agentic frameworks; drive Claude Code, Cursor, or similar daily
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
Health, dental, and vision insurance
Generous PTO policy
Base salary range: $150,000 - $250,000 per year (total compensation may include equity)
Build and ship a live deployment knowledge graph and agentic software systems that automate AI supercomputer site bring-up, contractor workflows, QA inspections, and as-builts. Forward-deploy alongside field engineers on live construction sites to turn their domain expertise into structured, queryable data models and autonomous planning tools. Requires production experience with Go/Python/TypeScript, LLM APIs, and agentic coding tools.
150k – 275k/yr
On-siteFullstack Engineering
Product Engineer, Commissioning
FluidstackSan Francisco, CA
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Build and ship production software that automates quality control, factory scheduling, integrator scoring, and corrective actions for AI supercomputer manufacturing. Embed with domain experts on factory floors to turn their judgment into self-improving graph-based systems; requires production coding in Go/Python/TS, LLM/agent experience, and strong product taste for industrial workflows.
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On-siteFullstack Engineering
Full-Stack Software Engineer
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Full-Stack Software Engineer building AI-integrated infrastructure for rapid AI compute capacity at Fluidstack. Own features end-to-end across supply chain automation, capacity forecasting, internal AI agents, operational tooling, and datacenter design/validation. Requires 5+ years production experience, deep LLM/agent expertise, and extreme ownership.
150k – 350k/yr
On-site5+ YOEFullstack Engineering
Software Engineer, Product
FluidstackSan Francisco, CA +3
Build and own features across Fluidstack's AI-integrated software stack for supply chain automation, capacity forecasting, internal AI infrastructure, operational automation, and datacenter design/validation. Requires 5+ years shipping production code (Go/Python/TypeScript), deep LLM/agentic experience, high autonomy, and strong product taste.
