Applied AI Infra Engineer — Scale Frontier Compute

Fluidstack; New York (NY); Hybrid; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Health, dental, and vision insurance

Generous PTO

Retirement plan

Job summary

Fluidstack is building civilization-scale AI infrastructure, from power and data centers to agent-based orchestration. You will own end-to-end primitives, define interactions with external vendor systems, and empower AI agents with tooling, guardrails, and audit trails.

We seek adaptable engineers who can turn messy, unstructured data into robust architectural solutions, ship production code, and reason from first principles in a fast-paced, high-urgency environment.

Qualifications

• 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.
• 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.

Responsibilities

• 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.

Job description

Fluidstack is building civilization-scale AI infrastructure, from power and data centers to agent-based orchestration. You will own end-to-end primitives, define interactions with external vendor systems, and empower AI agents with tooling, guardrails, and audit trails.

We seek adaptable engineers who can turn messy, unstructured data into robust architectural solutions, ship production code, and reason from first principles in a fast-paced, high-urgency environment.