AI Engineer

Averis; Kuala Lumpur; In loco; MYR 240.000 - 360.000; Tempo pieno

Descrizione del lavoro

Averis in Malaysia is seeking a versatile AI Engineer to build GenAI-powered products end-to-end, collaborating directly with business stakeholders in a forward-deployed, product-minded role.

You will own both new features and existing apps, improve AI-assisted code quality, and drive architecture, testing, and documentation across diverse codebases with an enterprise mindset and startup-speed execution.

Competenze

• 7+ years of hands-on full-stack or product engineering experience shipping production applications.

Mansioni

• Scope, prioritize, and deliver requirements directly with business stakeholders.
• 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, and fix correctness, security, and performance.
• Standardize quality, architecture, testing, and documentation across inconsistent codebases.
• Use AI coding tools (e.g. Claude Code, Cursor) to move faster, while applying your own engineering judgment on what to trust.
• Improve the team’s prompting, tooling, and QA practices for AI-assisted development.
• Write clear documentation: architecture notes, setup guides, runbooks, handover materials.

Conoscenze

Full-stack engineering

Product engineering

Frontend development

Backend development

APIs

Databases

Auth

CI/CD

Observability

Ownership mindset

English communication

Strumenti

Claude Code

Cursor

Descrizione del lavoro

Grow your career with us

Here at Averis, our common purpose is to improve lives by developing resources sustainably. Our people are crucial in helping us to realise our vision to be one of the best Global Business Solution (GBS) organization to support our customers in creating value for the Community, Country, Climate, Customer and Company.

Responsibilities:

Position Summary

We’re looking for a versatile AI Engineer to build and own GenAI-powered products end-to-end. This is a forward-deployed, product-minded role: you’ll work directly with business stakeholders — often without a product or project manager in between — to turn ambiguous needs into working software.

The work is an even split between building new LLM-powered features and applications and taking ownership of existing digital apps built by various contributors (including AI-assisted codebases) — hardening, debugging, and improving them. You should be comfortable both starting from a blank page and working in inconsistent, inherited systems.

We’re an enterprise environment, but we want an early-stage-startup mindset: you take strong ownership, move without waiting to be told, communicate clearly, and drive work to done. If you pair the maturity to navigate ambiguity, stakeholders, and messy systems with the drive to own outcomes end-to-end, this role is for you.

What you’ll do

• Work directly with business stakeholders to scope, prioritize, and deliver — translating needs into requirements yourself rather than waiting for a spec
• Build new GenAI/LLM features and applications, and the APIs and services that integrate them with internal systems
• Take over existing applications: inspect, debug, validate AI-generated code, and fix correctness, security, and performance issues Standardize quality, architecture, testing, and documentation across inconsistent codebases
• Use AI coding tools (e.g. Claude Code, Cursor) to move faster, while applying your own engineering judgment on what to trust
• Improve the team’s prompting, tooling, and QA practices for AI-assisted development
• Write clear documentation: architecture notes, setup guides, runbooks, handover materials

Requirements

• 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
• Strong debugging and root-cause analysis, including in messy or poorly documented codebases
• Practical experience with AI coding tools, and the judgment to tell when their output is wrong, unsafe, or fragile
• Comfortable with cloud, containers, CI/CD, and basic observability
• Ownership mentality as a self-starter who defines their own work, drives it to done, and doesn’t need close management
• Comfortable navigating competing stakeholders, unclear requirements, and organizational messiness — the kind of judgment that comes from enterprise, consulting, or startup environments
• Good written and verbal English, with technical and non-technical people

Nice to have

• Experience building LLM-powered features (RAG, agents, document workflows, structured extraction)
• Experience taking over apps built by agencies, vendors, or distributed contributors
• Experience raising engineering standards or building internal tooling across multiple apps
• Background spanning both enterprise/consulting and early-stage startups

When you send us your resume and personal details, it is deemed you have provided your consent for us to keep or store your information in our database. All the information you have provided is only used for the recruitment process. Averis will only collect, use, process or disclose personal information where and when allowed to under applicable laws.
Only shortlisted candidates will be contacted for an interview. We endeavour to respond to every applicant. However, if you receive no response from us within 60 days, please consider your application for this specific position unsuccessful. We may contact you in the future if there are opportunities that match your qualifications and experience. Thank you for considering a career with Averis.