Decision Engineer, Business Operations
Fluidstack3 months ago
Austin, TX, USA +3 moreMid Level
H1B sponsor
Base Salary
$224k - $300k/yr
Responsibilities
- Build internal AI-powered tools and applications that automate workflows, accelerate decision-making, and reduce manual work.
- Design and maintain shared AI infrastructure, including AGENTS.md, SKILLS.md, and organization-wide shared skills.
- Integrate AI capabilities into existing products and internal tools.
- Create custom integrations between LLMs and GitHub, Slack, Notion, Jira, Salesforce, and internal APIs.
- Identify new opportunities to apply emerging AI techniques to organizational challenges.
- Document tools and support teams in adopting and extending them.
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 development skills and experience building web applications 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.
- Deep understanding of AI coding agent tools such as Claude Code, Cursor, and Antigravity.
- Ability to work autonomously, identify problems, design solutions, and ship high-impact results with minimal direction.
- Strong product and design judgment, systems thinking, and product intuition.
- Excellent communication skills and the ability to explain technical concepts to non-technical stakeholders and drive adoption.
Benefits
- Competitive total compensation package including cash and equity.
- Health, dental, and vision insurance.
- Retirement plan.
- Generous paid time off policy.
- Equal employment opportunity and pay equity commitments.
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.