AI Engineer (Full Stack Engineering)

Metlife Solutions Pte Ltd

Kuala Lumpur

On-site

MYR 180,000 - 260,000

Full time

4 days ago

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Benefits offered by this job

Cell phone reimbursement

Health insurance

Maternity leave

Parental leave

Work from home

Job summary

Metlife Solutions Pte Ltd in Kuala Lumpur seeks an experienced AI Engineer (Full Stack) to drive cloud-native software delivery with AI copilots. You will craft architecture, specify requirements, and own end-to-end implementation while collaborating with global teams across Asia.

The role requires 6+ years in enterprise full-stack development, strong AI-first practices, and familiarity with GitHub tools and Azure capabilities.

Qualifications

Bachelor's degree or equivalent in computing/engineering fields.
6+ years building enterprise apps with modern full-stack, API, data and cloud tech.
Hands-on with AI-first engineering and AI-assisted software delivery in modern environments.
Experience with GitHub Enterprise and Copilot; exposure to Azure AI capabilities is a plus.
Experience building secure, cloud-native apps in complex or regulated enterprises.
Strong Agile, CI/CD, DevOps, testing, and modern architecture practices.

Responsibilities

Apply AI-first engineering across the full software lifecycle.
Create clear specs, architecture decisions, and acceptance criteria.
Design, develop, test, deploy, and maintain cloud-native full-stack apps.
Use AI responsibly to boost productivity while ensuring code quality and security.
Collaborate with product, security, and operations to translate outcomes into plans.
Review designs and code for alignment with enterprise standards and security.
Investigate incidents and drive automation for reliability and performance.

Skills

Full-stack development

Cloud-native architectures

AI-first engineering practices

Agile / DevOps

APIs-first development

ADR & NFR concepts

Security & compliance awareness

Global collaboration

Delivery leadership

Education

Bachelor's degree in CS/Engineering/IT or equivalent

Tools

GitHub Enterprise

GitHub Copilot

Azure AI Foundry

Copilot SDK

Semantic Kernel

LLM-based patterns

Veracode

Azure AppInsights

Elastic

Infrastructure as Code

Job description

Metlife Solutions Pte Ltd – Kuala Lumpur, Kuala Lumpur

Department: Global Technology, Asia Technology

Role Overview

MetLife is offering an exciting opportunity to contribute to our digital and AI transformation journey. We are moving to an AI-first way of working, where engineers, AI agents and copilots are core collaborators across the software delivery lifecycle. The engineers who thrive in this model are those who can think clearly upfront, specify intent and constraints explicitly, and direct AI systems with precision, while retaining full ownership, judgment, and accountability for what gets built.

The AI Engineer (Full Stack Engineering) is responsible for the design, development, and maintenance of cloud native/modern software solutions, increasingly built in partnership with AI coding agents and copilots. Success in this role depends as much on strong upfront architecture, design, and specification skills as it does on hands-on coding, and on the ability to clearly articulate intent, constraints, and acceptance criteria so that both AI systems and human collaborators can execute against them reliably.

Key Responsibilities

Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.
Create clear functional and technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria that guide high-quality delivery.
Design, develop, test, deploy, and maintain modern full-stack, cloud-native applications that are secure, scalable, resilient, observable, and maintainable.
Use AI responsibly to accelerate engineering productivity while retaining accountability for code quality, design correctness, testing, security, and production readiness.
Partner with product owners, architects, security, operations, and business stakeholders to translate business outcomes into executable engineering plans.
Review solution designs, code, tests, and operational readiness to ensure consistency with enterprise architecture, security, compliance, and engineering standards.
Investigate and resolve production incidents, service requests, and performance issues while driving automation, simplification, and continuous improvement.

Candidate Qualifications

Education: Bachelor of Computer Science, Engineering, Information Technology, or equivalent experience.
Experience:
Minimum 6 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technology capabilities.
Hands-on experience with AI-first engineering practices and AI-assisted software delivery in a modern engineering environment.
Experience with GitHub Enterprise and GitHub Copilot; exposure to Microsoft AI capabilities such as Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM-based application patterns is preferred.
Experience developing secure, mission-critical, cloud-native applications in complex or regulated enterprise environments.
Proficiency in Agile, CI/CD, DevOps, automated testing, shift-left engineering, domain-driven design, API-first development, and modern architecture patterns.
Technical articulation: Ability to express requirements, design intent, constraints, trade-offs, and expected outcomes clearly for people and AI-assisted platforms.
Collaboration: Proven ability to work effectively with global, multicultural, cross-functional teams.
xDevOps & Delivery: Azure DevOps, Git, CI/CD, automated testing, SonarQube, secure coding, infrastructure as code.
Engineering Practices: Agile, domain-driven design, API-first development, Architecture Decision Records (ADR's), Non Functional Requirements (NFR's), shift-left quality and security.
Security, Integration & Monitoring: Authentication/authorization, API management, Veracode, Azure AppInsights, Elastic, enterprise logging and monitoring.

About MetLife

MetLife is a leading global life insurance and employee benefit company, with 90 million customers in over 60 countries. We are leading the global transformation of an industry we've long defined. Be a part of our remarkable journey, one in which you help to write the next century of innovation in insurance.

At MetLife, you'll have accountability for end-to-end solutions, working with other talented engineers who share your passion for technology, distinctive digital experiences and customer-driven innovation. From implementing new platforms to migrating applications to the cloud, you'll be instrumental in creating technologies built to scale.

We hire smart, creative, collaborative people who are kind to each other. We embrace diversity, equity and inclusion. This allows us to think bigger, experiment more, innovate faster, and win together. Join us, because making the world a better place with MetLife is #AllTogetherPossible.