[Hiring] AI Engineer @OneTeamAnywhere

Role Description

We are looking for an AI Engineer to work with us in a remote setup for our Singapore-based client. For this role, we only process candidates that are based in the Philippines and have legal authorization to work in the Philippines.

The role involves:

• A multi-agent system in production that talks to suppliers, negotiates pricing, tracks specs across dozens of factories, and keeps brands updated in chat.
• Owning meaningful surface area of the stack, reading papers on Friday, shipping the primitive on Monday, and watching it run against real supplier conversations on Tuesday.

What you'll own:

• Agentic development — building, hardening, and extending a multi-agent sourcing system.
• Observability and evaluation — the infra that tells us when the agent is doing the right thing, and when it isn't.
• Tools and integrations — wiring the agent into supplier systems, document workflows, and our own ops.
• Experimentation — new models, memory architectures, context strategies — proposed and shipped by you.

Qualifications

• Deep, hands-on work on agentic / multi-agent systems — you've built and shipped them, not just read about them.
• AI-native, AI-first — your default coding workflow is AI-assisted. You can articulate why and where it works.
• Constantly learning — you experiment with new AI concepts proactively. You don't wait to be told what to try next.
• Experience building observability and evaluation systems for AI products — traces, evals, replay, regression detection.
• Practical builder mindset — we'd take a strong builder over a pure research profile every time.

Requirements

• Production experience with LLM memory, persistent context, or context engineering at scale.
• Open source contributions in the agent / eval space.
• Background working across time zones — a lot of our supplier and brand traffic is global.