Decision Engineer, Manufacturing & Supply Chain
About The Position
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.
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
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
Benefits
- Competitive total compensation package (cash + equity)
- Health, dental, and vision insurance
- Retirement plan
- Generous PTO policy
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
