Software Engineer, Product
$150,000–$350,000 year
On-siteSan Francisco, California, United States
Job Summary
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, while integrating AI capabilities into existing products and custom integrations between LLMs and internal systems like GitHub, Slack, and JIRA. Stay current with rapidly evolving AI capabilities to proactively identify new opportunities for organizational challenges. Create documentation and provide support to enable teams to adopt and extend the tools you build. This role serves as an internal force multiplier for Fluidstack's Automation Team, helping to deliver 10 to 100s of GWs of compute faster by rethinking every layer of the stack.
Required Qualifications
- 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript
- 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
- 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
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