Pentagon GamesWhat you'll do
- Lead the architecture for multi-agent orchestration across studios
- Set the permission model: what each agent may read, write, spend and publish
- Build observability: traces, evals, cost and incident review for agents
- Hire and lead a small team of agent engineers
- Partner with security on secrets handling and least-privilege access
What you'll bring
- Senior engineering leadership on distributed systems or developer platforms
- Hands-on experience running LLM agents in production
- A track record of making other engineers faster
- Clear writing: you design in documents before code
Nice to have
- OpenClaw or MCP experience
- Experience with self-hosted model serving
How you'll work with AI
You will work alongside our own AI agents every day: they draft, test, research and ship with you, and part of your job is making them better.
Where and how
Remote · Taiwan · Hong Kong · Singapore · Dubai (housing benefit) · Toronto. Full-time. We work remote-first with offices in Taiwan, Hong Kong, Singapore, Dubai and Toronto; Dubai roles include a housing benefit.
How to apply
Apply on members.pentagon.games. You'll sign in or create a free Pentagon account first, so your application is saved to it and you can follow or withdraw it. Every application asks one question we care about most: what have you built with AI agents? Show us.