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Fluidstack is hiring a Software Engineer, AI Enablement to join our San Francisco onsite team and build internal AI powered tools and shared infrastructure that make every team significantly more productive. You’ll partner with engineering, product, operations and business to identify high impact opportunities for AI augmentation, ship tools that automate workflows and accelerate decision making, and design scalable foundations including AGENTS.md and SKILLS.md. You should have 3+ years of production grade software experience in Go, Python and TypeScript, strong full stack skills, hands on work with LLM APIs and agent frameworks, and a demonstrated ability to solve problems autonomously and communicate clearly to non technical partners. Compensation ranges from $150k to $350k plus equity; to apply, tailor your resume to showcase concrete productivity gains, relevant AI tooling projects, cross functional collaboration, and your ability to stay current with rapid AI advances.

About Fluidstack

At Fluidstack, we’re building the infrastructure for abundant intelligence. We partner with top AI labs, governments, and enterprises - including Mistral, Poolside, Black Forest Labs, Meta, and more - to unlock compute at the speed of light.

We’re working with urgency to make AGI a reality. As such, our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers’ outcomes as our own, taking pride in the systems we build and the trust we earn. If you’re motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence, join us in building what's next.

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

Compensation:

Our cash compensation range for this role is $150,000-$350,000. Final offers may vary from the amount listed based on geography, candidate experience and expertise, relevant licenses/credentials, and other factors. We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.

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.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email [email protected] with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.