Decision Engineer, Infrastructure Development & Delivery
Build and deploy AI-powered internal tools and shared infrastructure to automate workflows and boost productivity across engineering, product, operations, and business teams at a frontier AI compute infrastructure company. Requires 3+ years production software engineering, full-stack skills, and deep hands-on experience with LLMs, agents, and AI coding tools.
208k – 269k/yr
On-site3+ YOEML Engineering
About the role
Responsibilities
Build internal tools and applications leveraging frontier models to automate workflows, accelerate decision-making, and reduce manual toil across all functions.
Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization.
Integrate AI capabilities into existing products and internal tools, identifying where augmentation delivers measurable impact.
Build custom integrations between LLMs and internal systems (GitHub, Slack, Notion, JIRA, Salesforce, internal APIs).
Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques to organizational challenges.
Create documentation and provide support to enable teams to adopt and extend the tools you build.
Requirements
3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (but also the ability to work in an arbitrary language, primarily using AI coding tools to drive).
Strong full-stack development skills with experience building web applications (React, Next.js, or similar frameworks).
Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks.
Deep understanding of AI coding agent tools including Claude Code, Cursor, Antigravity, etc., and agent frameworks around them.
Proven ability to work autonomously (and get their agents to work autonomously for them): identifying problems, designing solutions, and shipping results with minimal direction and high impact.
Great product and design taste: as the barrier to building gets lower, taste matters more.
Strong systems thinking and product intuition to balance rapid iteration with building maintainable, scalable foundations that others can build off.
Excellent communication skills with ability to translate technical concepts for non-technical stakeholders and drive adoption.
Benefits
Competitive total compensation package (cash + equity).
Build and own AI-powered decision systems and internal tools that augment the compute production team at Fluidstack, leveraging frontier LLMs, agents, and custom integrations to drive measurable productivity gains across operations.
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