Decision Engineering Team Lead, Infrastructure Development & Delivery
AI summary of the role
Lead a small team of Decision Engineers building AI-powered tools and decision systems to accelerate infrastructure development and delivery workflows at a fast-growing AI cloud platform.
What you’ll do
- Lead a small team of Decision Engineers, setting technical direction and owning the bar for what ships
- Personally ship the highest-leverage AI tools and agents for infrastructure development and delivery workflows
- Identify the highest-impact AI augmentation opportunities and turn them into shipped tools with measurable productivity gains
- Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md
What you’ll bring
- 7+ years of software engineering experience with 2+ years leading a team while still coding
- Production-grade code in Go, Python, and TypeScript, with strong full-stack skills (React, Next.js, or similar)
- Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks
- Deep understanding of AI coding agent tools including Claude Code and Cursor
Technologies
Go · Python · TypeScript · React · Next.js · LLM APIs · OpenAI · Anthropic · MCP servers · Claude Code · Cursor
About Fluidstack
AI cloud platform providing single-tenant GPU clusters, orchestration software, and custom data-center capacity for frontier labs that need multi-thousand-GPU training and inference fast.
Series A
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