AI Engineer at Global Sourcing Company

We are looking for anAI Engineerto 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.

About the OTA Client

An AI sourcing agent for consumer brands. Describe what you want to launch a hydrating lip balm custom gym apparel frosted glass dropper bottles and the agent comes back with verified suppliers real quotes and DDP pricing in under 24 hours. What used to take weeks of Alibaba browsing now takes one chat.

Founded in 2021. Today they serve 200 brands with a network of 4000 verified suppliers across 12 countries and a 98% on-time delivery rate. Theyre headquartered in Singapore with entities in the US Hong Kong and Indonesia and theyre now pushing hard into LatAm and the US.

The role

A multi-agent system in production. The agent talks to suppliers negotiates pricing tracks specs across dozens of factories and keeps brands updated in chat. Theres a long list of things it does well and a longer list of things it should do next.

Youll own meaningful surface area of that stack. Youll read papers on Friday ship the primitive on Monday and watch it run against real supplier conversations on Tuesday.

What youll 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 isnt

• 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

What were looking for

• Deep hands-on work on agentic / multi-agent systems youve 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 dont 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 wed take a strong builder over a pure research profile every time

Nice to have

• 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