GenAI Engineer: End-to-End AI Product Owner

Averis Sdn Bhd; Kuala Lumpur; On-site; MYR 180,000 - 320,000; Full time

Benefits offered by this job

Medical, dental, and optical benefits

Cross-functional training

Overseas postings and short-termSecond

Learning and development programmes

Reward and recognition awards

Exciting recreational & employeeEng

Opportunities for job rotations

Professional membership subscriptions

Job summary

Averis Sdn Bhd in Kuala Lumpur is seeking a versatile AI Engineer to build GenAI-powered products end-to-end, working directly with business stakeholders to translate ambiguous needs into working software.

The role balances new GenAI/LLM features with ownership of existing apps, demanding strong full-stack capabilities, an entrepreneurial mindset, and the ability to ship reliable, secure AI-powered solutions across heterogeneous codebases.

Qualifications

• 7+ years of hands-on full-stack or product engineering experience shipping and supporting production applications.
• Strong across the stack: frontend, backend, APIs, databases, auth, and integrations.
• Comfortable navigating enterprise, consulting, or startup environments; ownership mentality and self-starting attitude.

Responsibilities

• Work directly with business stakeholders to scope, prioritize, and deliver—translating needs into requirements without waiting for a spec.
• Build GenAI/LLM features and applications, and the APIs that integrate them with internal systems.
• Take over existing applications: inspect, debug, validate AI-generated code, fix correctness, security, and performance issues; standardize quality and testing across codebases.
• Improve prompting, tooling, and QA practices for AI-assisted development.
• Write architecture notes, setup guides, and runbooks.

Skills

Full-stack engineering

AI coding tools

Cloud

CI/CD

Stakeholder communication

Documentation

Tools

Claude Code

Cursor

Job description

Averis Sdn Bhd in Kuala Lumpur is seeking a versatile AI Engineer to build GenAI-powered products end-to-end, working directly with business stakeholders to translate ambiguous needs into working software.

The role balances new GenAI/LLM features with ownership of existing apps, demanding strong full-stack capabilities, an entrepreneurial mindset, and the ability to ship reliable, secure AI-powered solutions across heterogeneous codebases.