Software Engineer, Applied AI
San Francisco, CA, New York, NY, Austin, TX, London, Seattle, WA$173k - $250k + equityFull-timePosted 3mo ago
About the role
Software Engineer role focused on building AI-enabled infrastructure, data centers, and orchestration to enable scalable AI workloads at Fluidstack.
Responsibilities
- Build core primitives end to end: entity ownership, audit, authorization, orchestration.
- Own the domain model for power, data centers, and chips as composable entities.
- Define interactions with outside vendor systems and ingest formats like KMZ, BIM, Revit, vendor docs.
- Make AI agents first-class operators with tools, guardrails, and audit trails to act safely.
Qualifications
- Ambiguity tolerance and ability to map unknown domains.
- Rapid learning in unfamiliar domains (e.g., workflow engines, authz models, geospatial formats).
- Taste for abstraction and ability to identify the right level of generalization.
- Experience turning messy, unstructured data into usable data, in ML, data engineering, or research.
- Fluency with AI tooling (LLM APIs, MCP servers, agent frameworks).
- Shipped production code in any language using AI coding tools.
Skills
Required:Ambiguity tolerance and mappingLearning speed in unfamiliar domainsAbstraction and system designMessy data to usable data (ML / data engineering)AI tooling proficiency
Benefits
- Competitive total compensation package (salary + equity).
- Retirement or pension plan.
- Health, dental, and vision insurance.
- Generous PTO policy.
Last updated Oct 20, 2026. Interested? Apply on the company site.
About Fluidstack
Fluidstack builds civilization-scale infrastructure for AI
Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.
AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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