Forward-Deployed AI Infrastructure Engineer

Wwshemi

New York (NY)

Hybrid

USD 140.000 - 210.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Competitive total compensation package
Health, dental, and vision insurance
Retirement plan
Generous PTO policy

Zusammenfassung

Fluidstack is building civilization-scale AI infrastructure and seeks engineers who ship end-to-end. You will push frontend and backend features, integrate LLM APIs, and automate hardware qualification within a fast-paced environment. Expect on-site work at multiple sites with strong ownership and performance focus.

Join a team solving real-world challenges in fleet health, maintenance automation, and scalable data center systems, while contributing to high-velocity delivery and accountability.

Qualifikationen

  • Shipped production code in Go, Python or TypeScript and adapt to problem demands.
  • Built features with LLM APIs, MCP servers and agentic frameworks.
  • Daily collaboration with AI coding tools like Claude Code and Cursor.
  • Ability to design solutions and ship without waiting for approval.
  • Delivers under deadlines while maintaining solid foundations.

Aufgaben

  • Build the fleet health system: real-time telemetry and a unified API across Kubernetes and bare metal.
  • Turn repair and RMA into automated workflows with triage and parts routing.
  • Ship hardware qualification as software, with burn-in and validation at rack level.
  • Run the facility on the same system as the fleet and own asset models and migrations.
  • Turn runbooks into checked procedures and publish dashboards for operational visibility.

Kenntnisse

Go
Python
TypeScript
LLM APIs
agents
AI tooling
Go-to-market mindset

Tools

OpenAI API
Anthropic API
Prometheus
Grafana
MCP servers
BMC/IPMI tooling

Jobbeschreibung

Fluidstack is building civilization-scale AI infrastructure and seeks engineers who ship end-to-end. You will push frontend and backend features, integrate LLM APIs, and automate hardware qualification within a fast-paced environment. Expect on-site work at multiple sites with strong ownership and performance focus.

Join a team solving real-world challenges in fleet health, maintenance automation, and scalable data center systems, while contributing to high-velocity delivery and accountability.

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