Decision Engineering Team Lead, Infrastructure Development & Delivery
Lead a small team of AI Software Engineers building LLM-powered tools and agents that accelerate infrastructure development and delivery workflows at a frontier AI compute company. Hands-on coding in Go/Python/TS required alongside people leadership and roadmap ownership.
About the job
Responsibilities
- Lead a small team of Decision Engineers, setting technical direction and owning the bar for what ships
- Still build hands-on: personally ship the highest-leverage AI tools and agents for infrastructure development and delivery workflows
- Own the team's delivery: identify the highest-impact AI augmentation opportunities across infrastructure development and delivery workflows and turn them into shipped tools with measurable productivity gains
- Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and shared skills the wider organization builds on
- Grow the engineers on your team through review, direction, and hiring
- Partner with team and functional leadership to translate their goals into an AI tooling roadmap
Requirements
- 7+ years of software engineering experience with 2+ years leading a team while still coding
- Track record shipping production systems and internal tools that operational teams rely on
- Production-grade code in Go, Python, and TypeScript, with strong full-stack 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
- Deep understanding of AI coding agent tools including Claude Code and Cursor, and the agent frameworks around them
- Technical depth to review architecture and unblock engineers, not just manage
- Ownership mentality: you can define a roadmap and execute without heavy process support
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders
Nice-to-Haves
- Experience at a fast-scaling automation, robotics, or infrastructure software company
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
Go, Python, TypeScript, React, Next.js, LLM APIs, Mcp Servers, Agentic Frameworks, Claude Code, Cursor, Ai Coding Agents
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