Decision Engineer, Compute Production
About The Position
We are hiring Decision Engineers (AI Software Engineers) for the Compute Production team within Decision Engineering, building decision systems for the compute production flow. 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 compute production 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 compute infrastructure, hardware production, or operations tooling
Responsibilities
- Build decision systems and internal tools leveraging frontier models that make the compute production flow 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
