Junior AI Engineer (Full Stack Engineering)

MetLife; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

MetLife is seeking a Junior AI Engineer (Full Stack Engineering) to design, build, test, deploy and maintain cloud-native applications with an AI-first approach. You will own quality, security, reliability and production readiness while applying strong full-stack capabilities.

The role focuses on translating business outcomes into technical specs, driving architectural decisions, and delivering observable, scalable systems.

Qualifications

• Bachelor's degree in Computer Science, Engineering, IT or equivalent.
• At least 2 years of experience developing enterprise applications with modern full-stack, API, data and cloud tech.
• Hands-on experience with AI-assisted software delivery, GitHub Enterprise, and GitHub Copilot.
• Exposure to Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM patterns preferred.
• Strong knowledge of Agile, DevOps, CI/CD, automated testing, API-first development, DDD, and shift-left quality and security.

Responsibilities

• Apply AI-first engineering practices across all phases of the lifecycle.
• Translate business outcomes into technical specs, architecture decisions, and acceptance criteria.
• Build secure, scalable, resilient, observable full-stack solutions.
• Use AI responsibly to boost engineering productivity and delivery quality.
• Collaborate with product, architecture, security, operations, and business teams.
• Support incident resolution, automation, and continuous improvement efforts.

Skills

Full-stack engineering

Agile

DevOps

CI/CD

Security

API-first design

DDD

NFRs

Observability

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent

Tools

GitHub Enterprise

GitHub Copilot

Azure AI Foundry

Copilot SDK

Semantic Kernel

LLM patterns

Azure DevOps

Kubernetes

Java

Spring Boot

ReactJS

HTML/JavaScript

Job description

Position: Junior AI Engineer (Full Stack Engineering)

Role Description

The Junior AI Engineer (Full Stack Engineering) designs, develops, tests, deploys, and maintains modern cloud-native applications using an AI-first engineering model. The role requires strong full-stack capability, upfront architecture and specification skills, responsible use of AI coding assistants, and ownership of quality, security, reliability, and production readiness.

Key Responsibilities

• Apply AI-first engineering practices across discovery, requirements, design, development, testing, deployment, operations, and continuous improvement.
• Translate business outcomes into clear technical specifications, architecture decisions, NFRs, design notes, and acceptance criteria.
• Build secure, scalable, resilient, observable, and maintainable full-stack solutions.
• Use AI responsibly to improve engineering productivity and software delivery quality.
• Partner with product, architecture, security, operations, and business teams to deliver aligned outcomes.
• Support incident resolution, automation, simplification, and continuous improvement activities.

Candidate Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent experience.
• At least 2 years of experience developing enterprise applications using modern full-stack, API, data, and cloud technologies.
• Hands-on experience with AI-assisted software delivery, GitHub Enterprise, and GitHub Copilot.
• Exposure to Azure AI Foundry, Copilot SDK, Semantic Kernel, AI agents, RAG, and LLM application patterns preferred.
• Strong knowledge of Agile, DevOps, CI/CD, automated testing, API-first development, domain-driven design, and shift-left quality and security practices.
• Ability to clearly articulate requirements, design intent, constraints, trade-offs, and outcomes for people and AI-assisted platforms.

Tech Stack

• AI & Developer Productivity: GitHub Enterprise, GitHub Copilot, Azure AI Foundry, Microsoft Copilot ecosystem, Copilot SDK, Semantic Kernel, AI agents, RAG, LLM patterns.
• Cloud & Architecture: Microsoft Azure, cloud-native architecture, microservices, APIs, containers/Kubernetes, event-driven architecture, observability.
• Delivery & Engineering: Azure DevOps, Git, CI/CD, automated testing, SonarQube, secure coding, infrastructure as code, Agile, DDD, API-first, ADRs, NFRs.
• Development & Operations: Java, Spring Boot, ReactJS, HTML, JavaScript, mobile frameworks, SQL/NoSQL, authentication/authorization, API management, Veracode, Azure AppInsights, Elastic, logging and monitoring.