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.
208k – 269k/yr
On-site5+ YOEML Engineering
About the role
Responsibilities
Build decision systems and internal tools leveraging frontier models that make the compute production flow significantly more productive.
Own tools end to end, from conception through production, iterating directly with the people who use them.
Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization.
Build custom integrations between LLMs and internal systems (Slack, GitHub, internal APIs, operational data).
Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques.
Requirements
3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (and the ability to work in an arbitrary language, primarily driving AI coding tools).
Strong full-stack development skills 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.
Daily, demonstrable use of AI coding agents (Claude Code, Cursor, or similar) with concrete examples of tools and skills you have built.
Proven ability to work autonomously: identifying problems, designing solutions, and shipping results with minimal direction and high impact.
Strong product and systems judgment, comfortable with ambiguity and a demanding pace.
Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and drive adoption.
Nice-to-Haves
Exposure to compute infrastructure, hardware production, or operations tooling.
Compensation & Benefits
Competitive total compensation package (cash + equity).
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