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AI Launchpad Program

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Onsite

AI Launchpad Program

Axrail Pte Ltd

AI Launchpad Program

Skills

DynamoDBTypescriptPythonJavaAWS LambdaMachine LearningAIAWSJavascript

8 months ago

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Important information


Contract type:

Permanent

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

28 August 2026

What they need


Overview

Our AI Launchpad Program is a structured 3-month training journey designed to groom future leaders. As a Pilot, you will gain exposure to real business scenarios through projects, simulations, and case studies instead of daily operational tasks. The program is designed to accelerate your professional growth by equipping you with critical problem-solving skills, leadership insights, and hands-on project experience in key business areas.

About the Program

Kickstart your career as a Pilot in Developer Work with a hands-on training program designed to build future-ready engineers. Over 3 months, you’ll gain mastery in serverless development, AI-powered solutions, and enterprise-grade systems while working on real-world projects.

Our structured pathway will take you from foundations to production excellence, with opportunities to become AWS-certified as you will be prepared to take the AWS Certified Developer - Associate (DVA-C02) examinations, obtain the certificate, and transition into a full-time Developer role.

  1. Core Serverless Development:
  • Build scalable apps with AWS Lambda, DynamoDB, API Gateway, CDK
  • Explore advanced patterns: batch processing & orchestration
  • Deliver production-ready serverless applications
  1. AI Development & Enterprise Integration:
  • Develop, test, and deploy AI-powered applications
  • Implement resilience patterns & enterprise authentication
  • Integrate AI into enterprise-scale systems
  1. Production Excellence & Certification:
  • Gain hands-on experience with payment systems & security best practices
  • Learn to build scalable and high-performance solutions
  • Work toward achieving AWS Certification
  • Transition into a Senior Developer pathway

What You’ll Learn & Do:

Who We’re Looking For:

  • Final-year students or fresh graduates in Computer Science, Software Engineering, IT,

    or related fields

  • Familiarity with basic programming (Python, Java, or JavaScript/TypeScript)

  • Interest in cloud computing (AWS), AI/ML, or serverless architecture

  • Strong problem-solving, analytical thinking, and eagerness to learn

  • Team player with good communication skills

What You’ll Gain:

  • Real-world exposure to cloud-native and AI-driven development
  • Mentorship from senior developers and industry experts
  • A fast-track pathway to become an AWS-certified developer
  • Opportunity for a full-time role with attractive salary & benefits

Why Axrail?

  • Award-Winning Excellence – Be part of a team recognized by AWS and industry

    leaders for innovation and impact.

  • Cutting-Edge Projects – Work on high-impact AI solutions that shape the future of

    business.

  • A Culture of Growth – We invest in continuous learning, offering mentorship, training,

    and career advancement.

Eligible student applicants should have the following criteria:

  • Students have completed their degree, graduating, or at their end semester (practical

    phase)

  • All roles require strong communication skills and problem-solving attitude

  • Previous internship/project experience in relevant field is preferred

  • Academic excellence with minimum 3.0 CGPA/equivalent

  • Leadership roles in college activities are valued

  • Certifications in relevant domains strengthen candidacy

  • Coding tests/case studies will be part of selection process for technical roles

Benefits

  • Attractive and solid training allowances
  • Potential for being offered a full-time position
  • In-depth and hands-on experience for career progression
  • Sponsored to upskill by obtaining AWS certification

✨ If this sounds interesting, we would love to hear from you. Please include whatever info you believe is relevant: resume, GitHub profile, code samples, links to personal projects, etc.

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