Software Engineer
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.
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)
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