Decision Engineer, Infrastructure Development & Delivery
Fluidstack3 months ago
Austin, TX, USA +3 moreMid Level
H1B sponsor
Base Salary
$224k - $300k/yr
Responsibilities
- Build AI-powered decision systems and internal tools using frontier models to improve infrastructure development and delivery workflows.
- Own tools end to end from conception through production and iterate directly with users.
- Design and maintain shared AI infrastructure, including AGENTS.md and SKILLS.md, and develop shared organizational skills.
- Build integrations between LLMs and Slack, GitHub, internal APIs, and operational data.
- Monitor emerging AI capabilities and identify opportunities for productivity improvements.
Requirements
- At least 3 years of software engineering experience producing production-grade code in Go, Python, and TypeScript, with the ability to work in other languages.
- Strong full-stack web application development skills with React, Next.js, or similar frameworks.
- Hands-on experience building applications with LLM APIs, including OpenAI, Anthropic, or open-weight models.
- Experience creating and using MCP servers and agentic frameworks.
- Daily demonstrable use of AI coding agents such as Claude Code or Cursor, including concrete examples of tools and skills built.
- Ability to work autonomously, identify problems, design solutions, and ship high-impact results with minimal direction.
- Strong product and systems judgment, comfort with ambiguity, and ability to work at a demanding pace.
- Excellent communication skills and ability to explain technical concepts to non-technical stakeholders and drive adoption.
- Exposure to data center delivery, construction, or infrastructure operations tooling is preferred.
Benefits
- Competitive total compensation package including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
Tech Stack
Categories
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.