# Decision Engineer, Infrastructure Development & Delivery

**Company:** [Fluidstack](https://hotfix.jobs/companies/fluidstack)
**Location:** San Francisco, CA, New York, NY, Austin, TX, Seattle, WA
**Role:** ML Engineering
**Salary:** $208k – $269k/yr
**Experience:** 3+ years
**Skills:** Go, Python, TypeScript, React, Next.js, LLM APIs, OpenAI, Anthropic, mcp servers, agentic frameworks, Claude Code, Cursor, GitHub, Slack, Notion
**Posted:** 2026-07-21

> Build and deploy AI-powered internal tools and shared infrastructure to automate workflows and boost productivity across engineering, product, operations, and business teams at a frontier AI compute infrastructure company. Requires 3+ years production software engineering, full-stack skills, and deep hands-on experience with LLMs, agents, and AI coding tools.

## Job Description

## 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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