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FluidstackFluidstackSan Francsisco, CA

Software Engineer, Product

Build and deploy internal AI-powered tools and shared infrastructure (agents, skills, LLM integrations) to automate workflows and boost productivity across engineering, operations, and business teams at an AI compute infrastructure company. Requires 3+ years full-stack experience, strong LLM/agent expertise, and autonomous shipping with great product taste.

150k – 350k/yr
On-site3+ YOEFullstack 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.

Nice-to-Haves

  • Experience with frontier models and rapidly evolving AI capabilities.

Benefits

  • Competitive total compensation package (cash + equity).
  • Health, dental, and vision insurance.
  • Retirement plan.
  • Generous PTO policy.
  • Commitment to pay equity and transparency.

Skills

GoPythonTypeScriptReactNext.jsLLM APIsOpenAIAnthropicmcp serversagentic frameworksClaude CodeCursor

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