Senior Software Engineer (Architecture Track)
Leads architecture at Runjian's new Malaysia AI Innovation Center in Kuala Lumpur, which localizes AI products for ASEAN. Designs modular systems so multiple AI coding agents can work in parallel, builds agent infrastructure and secure integrations, and evolves CI/CD for AI-generated code, using tools like Cursor and Claude Code daily.
- Compensation
- Not disclosed
- Location
- Bangsar South, Kuala Lumpur
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 7+ years hands-on software engineering experience with strong system design skills (backend, distributed systems, API design)
- Proficiency in at least one major backend language (Go, Python, TypeScript, or Java)
- Practical understanding of how LLMs work (token limits, context windows, unpredictable outputs)
- Experience using AI coding assistants (Cursor, Copilot, Claude Code, or similar) as part of daily workflow
- Clear communication skills in English, able to explain technical decisions to non-technical stakeholders
Nice to have
- Multi-agent orchestration patterns and frameworks for coordinating autonomous AI coding agents
- AI-specific security practices: prompt injection defense, data sanitization for LLM access, secure tool exposure
- Advanced CI/CD techniques for AI-generated code, including automated evaluation and structural testing
- ASEAN regulatory environments (Malaysia PDPA, cross-border data compliance)
- Chinese language proficiency for collaboration with China headquarters
Full description
ROLE OVERVIEW
The Malaysia AI Innovation Center is the overseas R&D hub of our AI Business Group, localizing and scaling AI products across ASEAN markets (Malaysia, Indonesia, Thailand). We are looking for a Senior Software Engineer with strong architectural instincts to join as the technical lead of a small, fast-moving team.
Your primary focus is designing systems that let AI work reliably at scale — from structuring codebases so that AI coding agents can work in parallel without stepping on each other, to building the pipelines that validate AI-generated code before it ships. You don’t need to have done all of this before; what matters is that you have deep software engineering fundamentals and a genuine curiosity about how AI is changing the way we build software.
Equally important, you will be a hands-on practitioner of AI-assisted development yourself. We use AI coding tools (Cursor, Claude Code, etc.) daily, and we need someone who leads by example — shaping the team’s best practices, conventions, and guardrails through real usage, not just documentation.
We don’t expect you to know everything on day one. We expect you to learn fast, build with curiosity, and grow into the Architect role as the team scales.
KEY RESPONSIBILITIES
• System Design for AI-Driven Development: Design modular software architectures that allow multiple AI coding agents to work in parallel safely. Ensure clean boundaries between components so that concurrent AI-driven development doesn’t cause conflicts or code corruption.
• AI Development Infrastructure: Build and maintain the infrastructure that governs how AI agents operate: task management, sandboxed execution environments, error recovery, and cleanup mechanisms that keep the codebase healthy over time.
• Context & Information Strategy: Ensure AI agents have access to the right information at the right time. Design how your systems retrieve, filter, and deliver context to AI models so they produce accurate, relevant outputs.
• Integration & Security: Connect enterprise APIs, databases, and internal tools to AI agents securely. Define clear access boundaries and implement safeguards to protect sensitive data.
• Quality Assurance & Delivery: Evolve CI/CD pipelines to handle AI-generated code, including automated quality checks, structural validation, and human review gates for critical paths.
• Technical Leadership & Mentoring: Set coding standards and review practices for the team. Mentor junior and mid-level engineers on writing maintainable, AI-friendly code. Help the team make smart build-vs-buy decisions for tooling.