RAG & LLM AI Engineer for Mobile Apps

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

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