FluidStack
Software Engineer, Product
About this role
Fluidstack is seeking an AI Software Engineer to build internal productivity tools and shared infrastructure that leverage frontier AI models across the organization. You'll identify high-impact opportunities to automate workflows, integrate LLMs into existing systems, and enable teams to work more efficiently while working autonomously on ambitious projects.
What you'll do
- Build internal AI-powered tools and applications that automate workflows and reduce manual work across teams
- Design and maintain shared AI infrastructure including agent frameworks and organizational skills
- Integrate AI capabilities into existing products and internal systems with measurable impact
- Create custom integrations between LLMs and tools like GitHub, Slack, Notion, JIRA, and Salesforce
- Stay current with emerging AI techniques and proactively identify new opportunities for organizational use
- Document tools and support team adoption and extension of AI capabilities
What they're looking for
- Production-grade software engineering in Go, Python, and TypeScript
- Full-stack web development with React, Next.js, or similar frameworks
- LLM API integration and agentic AI frameworks
- AI coding agent tools (Claude Code, Cursor, Antigravity)
- Autonomous problem-solving and shipping with minimal direction
- Product design thinking and systems architecture
- MCP server creation and deployment
- Cross-functional communication and stakeholder management
Benefits
- Competitive total compensation including cash and equity
- Health, dental, and vision insurance
- Retirement plan
- Generous PTO policy
- Pay equity and transparency commitment
Opens the official application on the employer’s site. No login required.
FluidStack
FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.
- Website
- fluidstack.io
Likely interview questions
- Walk us through a time you built an AI-powered tool or application. What LLM or framework did you use, and how did you measure its impact?
- How do you stay current with rapidly evolving AI capabilities, and can you share an example of how you've applied a recent technique to solve a problem?