Decision Engineer, Manufacturing & Supply Chain

Fluidstack

$120K — $150K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of software engineering experience in Go, Python, and TypeScript with ability to adapt to any programming language for AI tools.
  • Strong skills in full-stack development, particularly web applications using React or Next.js.
  • Hands-on experience with LLM APIs, including OpenAI and Anthropic, and agent frameworks.
  • Daily use of AI coding agents with concrete examples of personal tool development.
  • Demonstrated ability to identify problems and implement solutions autonomously in a fast-paced environment.
  • Strong judgment in product and systems design, comfortable with ambiguity.
  • Excellent communication skills, able to articulate technical concepts to non-technical stakeholders.

Responsibilities

  • Build decision systems that enhance productivity in manufacturing and supply chain operations.
  • Own and iterate on tools from conception to production, engaging closely with end-users.
  • Design and maintain shared AI infrastructure to streamline organizational skills and processes.
  • Create custom integrations between LLMs and internal systems for improved functionality.
  • Stay updated on AI advancements to identify new application opportunities.

Benefits

  • Competitive total compensation package including cash and equity.
  • Health, dental, and vision insurance provided.
  • Retirement plan available for all employees.
  • Generous paid time off (PTO) policy.
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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