Decision Engineer, Manufacturing & Supply Chain

Fluidstack

$90K — $130K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of software engineering experience in production-grade code using Go, Python, and TypeScript.
  • Strong full-stack development skills with expertise in web applications (e.g., React, Next.js).
  • Hands-on experience with LLM APIs including OpenAI and Anthropic, as well as agentic frameworks.
  • Demonstrable daily use of AI coding agents, showcasing tools and skills built.
  • Proven ability to autonomously identify problems, design solutions, and deliver results.
  • Strong product and systems judgment with comfort in ambiguous, fast-paced environments.
  • Excellent communication skills for effectively translating technical concepts to non-technical audiences.

Responsibilities

  • Build AI-powered decision systems and internal tools for manufacturing and supply chain operations.
  • Own the end-to-end lifecycle of tools, from conception to production, with direct user feedback.
  • Design and maintain AI infrastructure, developing shared skills across the organization.
  • Create custom integrations between LLMs and internal operational systems (e.g., Slack, GitHub).
  • Stay updated on AI advancements to proactively implement new techniques in operations.

Benefits

  • Competitive total compensation package including cash and equity.
  • Comprehensive health, dental, and vision insurance benefits.
  • Retirement savings plan for financial security.
  • Generous paid time off (PTO) policy for work-life balance.
Full Job Description
Overview:

We are hiring Decision Engineers (AI Software Engineers) for the Manufacturing & Supply Chain team within Decision Engineering, building decision systems for manufacturing and supply chain operations. Decision Engineers serve as an internal force multiplier, building AI-powered tools and decision systems that make every team member significantly more productive. You'll work directly with the manufacturing and supply chain 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 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 have: exposure to manufacturing, supply chain, or logistics operations, or to building internal tooling for operational teams


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.

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 [redacted] 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.

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