Software Engineer, Product

Fluidstack

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript; adaptable to other languages using AI coding tools.
  • Strong full-stack development skills, particularly in web application frameworks such as React and Next.js.
  • Hands-on experience with building applications using LLM APIs, especially from OpenAI and Anthropic.
  • Deep understanding of AI coding agent tools and frameworks, like Claude Code and Antigravity.
  • Proven ability to work autonomously, identifying problems and delivering high-impact solutions with minimal direction.
  • Excellent communication skills, capable of bridging technical concepts for non-technical audiences.

Responsibilities

  • Build internal tools and applications to automate workflows and enhance productivity.
  • Design and maintain shared AI infrastructure, creating organizational skills repositories.
  • Integrate AI capabilities into existing systems, maximizing measurable impact.
  • Develop custom integrations between LLMs and various internal platforms.
  • Stay informed on AI advancements to identify new applications for ongoing challenges.
  • Provide documentation and support for teams to effectively utilize developed tools.

Benefits

  • Competitive total compensation package (cash + equity)
  • Health, dental, and vision insurance
  • Retirement plan
  • Generous PTO policy
Full Job Description
Overview:

We are hiring AI Software Engineers to serve as an internal force multiplier, building tools that make every team member significantly more productive. In this role, you will develop and deploy AI-powered applications and establish shared infrastructure that enables teams to leverage AI effectively. You'll work directly with engineering, product, operations, and business teams to identify high-impact opportunities for AI augmentation, then ship tools that drive measurable productivity gains. This is a unique opportunity to define how a fast-growing infrastructure company integrates AI into every aspect of its operations.

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)
  • Health, dental, and vision insurance
  • Retirement plan
  • Generous PTO policy


We are committed to pay equity and transparency.

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