Software Engineer, AI Enablement

Fluidstack

3d•$150,000 - $350,000

About The Position

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.

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

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