Tech Lead

AirAsia

unknownPosted Jul 15, 2026
Posting intelligenceActively listed

Skills

kubernetesjavascripttypescriptbigquerynextnodedockergitlabmysqlreactcicdgooglecloudllm

About the role

Job Description

About the Role

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

Strong JavaScript / TypeScript, Node.js, React / Next.js

Expertise in MySQL (schema design, optimization)

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

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