AI Engineer
Builds, integrates and ships the AI solutions for one initiative squad.
Location:
Hong Kong (on-site)
Purpose
AI Engineers are the build engine of the squads. Each squad has two, working to the squad Product Owner and to the central architecture and governance standards. This is a hands-on delivery role: building, integrating and shipping working AI solutions against the squad's prioritised backlog. Specific deliverables and milestones will be agreed with the squad Product Owner on joining.
Key Responsibilities
- Build, integrate and deploy AI/ML solutions against the squad backlog and the central reference architecture.
- Work hands-on across the solution lifecycle — data preparation, model / pipeline build, integration, testing and deployment.
- Apply the central governance and architecture standards in delivery rather than treating them as separate overhead.
- Collaborate closely with the squad Product Owner to validate that what is built solves the framed business problem.
- Contribute to design and code review within the squad, raising quality without slowing delivery.
- Surface technical risk and delivery blockers early to the Product Owner and AI Architect.
Essential Experience
- 3+ years building production GenAI, Agentic RAG, AI or ML systems(not solely research or notebooks).
- Strong programming skills(Python typically) and solid data engineering fundamentals.
- MUST HAVE Hands-on production experience
taking at least one AI/ML or GenAI solution from build to a deployed / used state.
- GenAI / LLM
application experience ( RAG, orchestration, evaluation).
- Cloud ML tooling experience (AWS, Azure or GCP).
- Comfortable working within architecture and governance standards rather than around them.
- Collaborative delivery style suited to a small squad working at pace.
- Financial services, insurance or other regulated-domain exposure.
Argyll Scott Asia is acting as an Employment Business in relation to this vacancy.