- Location: First Avenue, Petaling Jaya
- Working Hours: Monday - Friday, 9.00am - 6.00pm
- Employment Type: Fixed-term Contract
- Openings: 2 positions
- Joining Date: September 2026
- Employment Pass (EP) sponsorship is not available for this position.
About the Role
We are looking for a Lead Engineer, AI Agents & Backend Platforms to lead the design and development of AI-powered agents and scalable backend platforms.
In this role, you will build autonomous AI agents that can reason, use tools, interact with APIs and databases, and execute multi-step workflows with minimal human intervention.
You will play a key role in shaping the organisation's AI engineering capabilities, driving technical decisions, establishing engineering standards, and delivering scalable corporate systems.
You will report to the Principal Enterprise Architect - Automation & Integration and work closely with engineering, architecture, and technology teams.
Key Responsibilities
AI Agent Development
- Design and develop AI agents and autonomous workflows capable of planning, reasoning, decision-making, and task execution.
- Build AI solutions using Large Language Models (LLMs), prompt engineering, RAG, and agentic AI frameworks.
- Deconstruct complex business and technical problems into structured workflows suitable for AI implementation.
- Develop reusable agent architectures and components for enterprise use cases.
- Design and develop scalable backend services, APIs, and microservices supporting AI applications.
- Integrate AI agents with external APIs, databases, enterprise applications, and software tools.
- Contribute to system architecture, technical design, and engineering standards.
- Ensure backend platforms are scalable, maintainable, reliable, and secure.
AI Performance & Evaluation
- Improve LLM performance through prompt optimisation, RAG improvements, model evaluation, and workflow optimisation.
- Design and implement evaluation frameworks to measure AI agent accuracy, reliability, performance, and safety.
- Monitor and troubleshoot AI systems in production environments.
- Establish appropriate guardrails, controls, and human oversight for autonomous workflows.
Technical Leadership
- Lead engineering teams and provide technical direction across AI and backend development.
- Make key technical decisions and establish engineering best practices and standards.
- Mentor engineers and promote strong software engineering practices.
- Collaborate with architects, product teams, and business stakeholders to translate requirements into scalable technical solutions.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline; equivalent experience will also be considered.
- 8+ years of software engineering experience, with at least 5 years focused on designing and building scalable systems.
- Proven experience leading engineering teams and driving technical decisions.
- Strong programming experience in Python or other modern programming languages.
- Strong understanding of API design, backend development, databases, microservices, and system architecture.
- Hands-on experience working with Large Language Models (LLMs) and AI-powered applications.
- Knowledge of RAG, prompt engineering, AI agents, and agentic workflows.
- Strong understanding of software engineering fundamentals, data structures, and algorithms.
- Experience integrating applications with APIs, databases, and enterprise systems.
- Strong problem-solving and analytical skills, with the ability to break down complex problems into practical technical solutions.
- Strong communication and stakeholder management skills.
Good to Have
- Experience with AI agent frameworks or orchestration platforms.
- Experience building production-grade Generative AI applications.
- Experience with LLM evaluation, AI observability, or AI safety/guardrails.
- Experience with cloud platforms and modern DevOps practices.
Why Join?
- Lead the development of enterprise AI agents and backend platforms.
- Work on practical Generative AI and agentic AI use cases.
- Influence architecture, engineering standards, and technology direction.
- Work on scalable systems that support real business operations.
- Collaborate with experienced architects and technology teams.
- Opportunity to shape the organisation's AI engineering capabilities.
Open to Malaysian citizens only. Employment Pass (EP) sponsorship is not available for this position.