Tech Lead

Academy by AirAsia Next

Kuala Lumpur

On-site

MYR 180,000 - 320,000

Full time

9 days ago

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Job summary

Academy by AirAsia Next in Kuala Lumpur is seeking a hands-on Tech Lead to guide our development team in building scalable, AI-powered EdTech solutions. You will drive architecture decisions, mentor developers, and ensure delivery of high-quality applications using Node.js, React/Next.js, MySQL, and Google Cloud Platform.

You will lead frontend and backend engineers, shape the technical strategy for integrating agentic AI features, oversee CI/CD, and collaborate closely with product and design

Qualifications

  • 7+ years in software development, 3+ years as a Tech Lead.
  • Experience with agentic AI systems and LLM orchestration.
  • Hands-on experience with Google Cloud Platform.
  • Strong leadership, communication, and problem-solving skills.

Responsibilities

  • Lead and mentor frontend & backend developers.
  • Design and deliver scalable full-stack solutions.
  • Define and drive technical strategy for AI features.
  • Architect and build agentic AI systems and pipelines.
  • Own GCP cloud architecture decisions.
  • Guide data architecture with stakeholders.
  • Oversee CI/CD, testing, and code quality.
  • Collaborate with product and design to deliver features.
  • Troubleshoot issues and drive improvements.

Skills

Leadership
Communication
Problem-solving
Team mentorship

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform
GitLab CI/CD
Docker
Kubernetes
LangGraph
AutoGen

Job description

We are seeking a hands-on Tech Lead to guide our development team in building scalable, AI-powered EdTech solutions. You will drive architecture decisions, mentor developers, lead our adoption of agentic AI capabilities, and ensure delivery of high-quality applications using Node.js, React / Next.js, MySQL, and Google Cloud Platform.

Key Responsibilities
  • Lead and mentor frontend & backend developers
  • Design and deliver scalable full-stack solutions
  • Define and drive the technical strategy for integrating agentic AI features (e.g., AI tutoring assistants, content generation, adaptive learning workflows) into the product
  • Architect and build agentic AI systems , including LLM orchestration, tool-calling, and RAG pipelines , either directly or through close oversight of the team building them
  • Own cloud architecture decisions on GCP, including service selection, scalability, and cost optimization
  • Guide data architecture decisions, including pipeline design and analytics/reporting needs, in collaboration with data stakeholders
  • Oversee coding standards, code reviews, testing, and CI/CD
  • Collaborate with product and design teams to deliver features
  • Troubleshoot issues and drive technical improvements across the stack
Required Skills
  • 7+ years in software development, 3+ years as a Tech Lead
  • Hands-on experience building agentic AI systems , LLM orchestration, tool/function-calling, RAG pipelines, or agent frameworks (e.g., LangGraph, AutoGen, or equivalent) , and the ability to translate this into a product-level AI feature roadmap
  • Hands-on experience with Google Cloud Platform
  • Strong leadership, communication, and problem-solving skills
Good to Have
  • Hands-on with GitLab CI/CD
  • Familiarity with Docker / Kubernetes
  • Background in building EdTech or e-learning systems
  • Exposure to BigQuery or other GCP-native data warehousing tools
Qualifications and Competencies:
  • BS degree in Computer Science or a related technical field or equivalent practical experience.
  • 10+ years of related software engineering experience.
  • Must be comfortable coding in at least one of the following: NodeJS, Java, Python
  • Strong knowledge in Software Development Life Cycle Experience designing and deploying dynamically scalable, highly available, fault tolerant, and reliable applications.
  • Have experience in CI/CD tools (Gitlab Pipelines, Travis)
  • Strong Design knowledge, using S.O.L.I.D principles Have deep experience in building application on top of one of 3 clouds such as (GCP, AWS, Azure)
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