Applied AI Engineer

Social Multiway Sdn Bhd; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Benefits offered by this job

EPF

SOCSO

Annual Leave

Medical Leave

Health Insurance

Job summary

Social Multiway Sdn Bhd is seeking a skilled AI/ML-focused engineer to design, build, and deploy Retrieval-Augmented Generation (RAG) systems to improve knowledge-base accuracy and AI responses. The role involves integrating Large Language Models across apps, designing APIs, and collaborating with mobile teams for iOS/Android integration.

The position emphasizes Python backend development, cloud deployment (AWS/Azure/GCP), and strong problem-solving across AI and mobile integration, with an

Qualifications

• RAG systems for knowledge base enhancement
• LLMs integration across apps
• API design for AI services
• Mobile integration for iOS and Android
• Python backend development and data processing
• Cloud deployment and management (AWS/Azure/GCP)
• Problem solving for AI and mobile integration
• Agile development practices (sprint planning, stand-ups, retrospectives)
• Data structures and algorithms proficiency
• System design collaboration for scalable AI solutions
• Effective cross-functional communication with product managers and engineers

Responsibilities

• Design, develop, and implement RAG systems to enhance AI models' capabilities
• Integrate LLMs with existing and new applications focusing on mobile aggregation
• Develop and maintain robust APIs for AI services and platform integration
• Collaborate with mobile teams to integrate AI features into native apps
• Utilize Python and cloud platforms to build scalable AI solutions
• Troubleshoot and optimize RAG/LLM pipelines for mobile users
• Stay updated on Conversational AI and mobile development trends
• Participate in agile cycles including code reviews and CI/CD

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

Develop and implement Retrieval-Augmented Generation (RAG) systems to enhance the knowledge base and accuracy of our conversational AI models.

Integrate Large Language Models (LLMs) into existing and new applications, ensuring seamless performance and scalability.

Design and build robust APIs for conversational AI services, facilitating integration with various platforms and services.

Collaborate with mobile development teams to integrate conversational AI features into native iOS and Android applications, ensuring a smooth user experience.

Utilize Python for backend development, AI model implementation, and data processing, adhering to best practices in coding and system design.

Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP), optimizing for performance, cost, and reliability.

Apply strong problem-solving skills to troubleshoot and resolve complex technical challenges in AI and mobile integration.

Work within an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives.

Demonstrate proficiency in data structures and algorithms to optimize AI model performance and application efficiency.

Contribute to system design discussions, ensuring that conversational AI solutions are scalable, maintainable, and align with overall architectural goals.

Communicate effectively with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality AI-powered features.

Leverage knowledge of Mandarin and Bahasa Malaysia to potentially contribute to localized AI experiences, although primary work will be in English.

Requirement

• Develop and implement Retrieval-Augmented Generation (RAG) systems to enhance the knowledge base and accuracy of our conversational AI models.

• Integrate Large Language Models (LLMs) into existing and new applications, ensuring seamless performance and scalability.

• Design and build robust APIs for conversational AI services, facilitating integration with various platforms and services.

• Collaborate with mobile development teams to integrate conversational AI features into native iOS and Android applications, ensuring a smooth user experience.

• Utilize Python for backend development, AI model implementation, and data processing, adhering to best practices in coding and system design.

• Deploy and manage AI solutions on cloud platforms (e.g., AWS, Azure, GCP), optimizing for performance, cost, and reliability.

• Apply strong problem-solving skills to troubleshoot and resolve complex technical challenges in AI and mobile integration.

• Work within an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives.

• Demonstrate proficiency in data structures and algorithms to optimize AI model performance and application efficiency.

• Contribute to system design discussions, ensuring that conversational AI solutions are scalable, maintainable, and align with overall architectural goals.

• Communicate effectively with cross-functional teams, including product managers, designers, and other engineers, to deliver high-quality AI-powered features.

• Leverage knowledge of Mandarin and Bahasa Malaysia to potentially contribute to localized AI experiences, although primary work will be in English.

Responsibility

• Design, develop, and implement Retrieval-Augmented Generation (RAG) systems to enhance the capabilities of conversational AI models, ensuring accurate and contextually relevant responses.

• Integrate Large Language Models (LLMs) with existing systems and new applications, focusing on seamless mobile integration for a superior user experience.

• Develop and maintain robust APIs for conversational AI services, facilitating efficient communication between the AI backend and mobile applications.

• Collaborate with cross-functional teams, including product managers and mobile developers, to define AI features and ensure successful deployment on mobile platforms.

• Utilize Python and cloud platforms (e.g., AWS, Azure, GCP) to build scalable and performant AI solutions, adhering to best practices in system design and data structures.

• Troubleshoot and debug complex issues within the RAG and LLM pipelines, optimizing performance and reliability for mobile users.

• Stay abreast of the latest advancements in Conversational AI, RAG, LLMs, and mobile development, proactively identifying opportunities for innovation and improvement.

• Participate in agile development cycles, contributing to sprint planning, code reviews, and continuous integration/continuous deployment (CI/CD) processes.

Benefits

• EPF
• SOCSO
• Annual Leave
• Medical Leave
• Health Insurance