Decision Engineer, Compute Production
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 for the compute production flow.
- Own tools from conception through production and iterate directly with end users.
- Design and maintain shared AI infrastructure, including AGENTS.md, SKILLS.md, and organizational skills.
- Build custom integrations between LLMs and Slack, GitHub, internal APIs, and operational data.
- Track emerging AI capabilities and identify opportunities to apply them.
- Drive adoption by translating technical concepts for non-technical stakeholders.
Requirements
- 3+ years of software engineering experience producing production-grade code in Go, Python, and TypeScript.
- Ability to work in arbitrary programming languages, primarily using AI coding tools.
- Strong full-stack development experience building web applications with React, Next.js, or similar frameworks.
- Hands-on experience building applications with OpenAI, Anthropic, or open-weight model APIs.
- Experience creating and using MCP servers and agentic frameworks.
- Daily demonstrable use of AI coding agents such as Claude Code or Cursor, with concrete examples of tools and skills built.
- Ability to work autonomously, identify problems, design solutions, and deliver 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 drive adoption.
- Exposure to compute infrastructure, hardware production, or 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.