QI AI Labs Hiring! Full Time Software Engineer in Federal Territory - Ricebowl

Company Description QI AI Labs is an AI product studio focused on building practical, evidence-backed software and agentic workflows for modern enterprises across Southeast Asia and global markets. The team prioritizes validation over hype, engineering tailored AI systems that address real operational bottlenecks in areas such as voice operations, mail workflows, marketing intelligence, secure assistants, and LLM routing. Current solutions include OneReach for enterprise call operations, intelligent inbox triage, social signal scanning, private document review, and cost-aware model routing. QI AI Labs operates with rigorous research, continuous validation, and production-grade delivery, and is headquartered in Kuala Lumpur, Malaysia.
Role Description This is a full-time, on-site Software Engineer role based in WP. Kuala Lumpur. The Software Engineer will design, develop, and maintain backend services and agentic workflows that power QI AI Labs’ products, ensuring reliability, scalability, and security. Day-to-day work includes implementing APIs, integrating AI models, optimizing system performance, writing clean and testable code, and collaborating with product, research, and operations teams. The role also involves participating in code reviews, improving development tooling, and contributing to technical documentation and architectural decisions to support production-grade deployments.
Qualifications

• Strong foundation in Computer Science, including algorithms, data structures, and systems design.
• Proficiency in Software Development and Programming, with experience delivering production-quality applications.
• Hands-on experience with Back-End Web Development, including RESTful APIs, databases, and microservices.
• Solid understanding and practical use of Object-Oriented Programming (OOP) principles.
• Experience with at least one modern programming language (e.g., Python, Go, TypeScript, Java) and related frameworks.
• Comfort working with cloud platforms, containers, CI/CD pipelines, and monitoring tools.
• Ability to collaborate in a cross-functional environment, communicate clearly, and document technical work effectively.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• Experience with AI/ML systems, data pipelines, or agentic workflows is a plus.
• Interest in rigorous validation, secure systems, and building reliable tools for enterprise operators.