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FluidstackFluidstackNew York, NY

Decision Engineer, Manufacturing & Supply Chain

Build and own end-to-end AI-powered decision systems and internal tools using frontier LLMs to drive productivity in manufacturing and supply chain operations. Requires 3+ years production software engineering, strong full-stack skills, and daily hands-on experience with AI coding agents.

208k – 269k/yr
On-site5+ YOEFullstack Engineering

About the role

Responsibilities

  • Build decision systems and internal tools leveraging frontier models that make manufacturing and supply chain operations significantly more productive.
  • Own tools end to end, from conception through production, iterating directly with the people who use them.
  • Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization.
  • Build custom integrations between LLMs and internal systems (Slack, GitHub, internal APIs, operational data).
  • Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques.

Requirements

  • 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (and the ability to work in an arbitrary language, primarily driving AI coding tools).
  • Strong full-stack development skills 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.
  • Daily, demonstrable use of AI coding agents (Claude Code, Cursor, or similar) with concrete examples of tools and skills you have built.
  • Proven ability to work autonomously: identifying problems, designing solutions, and shipping results with minimal direction and high impact.
  • Strong product and systems judgment, comfortable with ambiguity and a demanding pace.
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and drive adoption.

Nice-to-Haves

  • Exposure to manufacturing, supply chain, or logistics operations, or to building internal tooling for operational teams.

Compensation & Benefits

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

Skills

GoPythonTypeScriptReactNext.jsLLM APIsOpenAIAnthropicmcp serversagentic frameworksai coding agentsClaude CodeCursor
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