Infrastructure Deployment Engineer: Scale AI Compute

Fluidstack; San Francisco (CA); On-site; USD 150,000 - 275,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Retirement plan

Generous PTO policy

Equity

Job summary

Fluidstack is building civilization-scale infrastructure for AI and seeks engineers who ship production code in Go, Python, or TypeScript and who work with AI coding tools and LLM APIs. The role collaborates with field engineers and deployment teams on live data center sites to turn designs into automated, robust software systems.

The team values fast delivery without compromising quality, with focus on structured cabling, fiber, and deployment automation.

Qualifications

• Shipped production code in Go, Python, or TypeScript and adapt to problem requirements.
• Experience with AI tooling and agent-based frameworks is expected.
• Ability to work with cross-domain teams including field engineers and technicians.

Responsibilities

• Build deployment knowledge graph on live sites beside Infrastructure Deployment Engineers.
• Encode sequencing rules to generate contractor schedules and material staging.
• Turn contractor bidding workflow into software with data-driven rankings.
• Generate per-rack checklists and inspection plans from design docs and auto-create punch lists.
• Assemble closeout with final test reports and as-builts linked in the graph.

Skills

Go

Python

TypeScript

LLM APIs

MCP servers

Agentic frameworks

AI coding tools

Debugging

Cross-domain communication

UX/Design focus

Structured cabling

Tools

OpenAI API

Anthropic API

MCP servers

Claude Code

Cursor

Job description

Fluidstack is building civilization-scale infrastructure for AI and seeks engineers who ship production code in Go, Python, or TypeScript and who work with AI coding tools and LLM APIs. The role collaborates with field engineers and deployment teams on live data center sites to turn designs into automated, robust software systems.

The team values fast delivery without compromising quality, with focus on structured cabling, fiber, and deployment automation.