AI-First Full-Stack Engineer (Junior)

MetLife

Kuala Lumpur

On-site

MYR 60,000 - 90,000

Full time

34 hours ago
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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

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.

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