Mobile AI Architect: RAG, LLMs & Cloud APIs

Social Multiway Sdn Bhd; Kuala Lumpur; On-site; MYR 120,000 - 170,000; Full time

Benefits offered by this job

EPF

SOCSO

Annual Leave

Medical Leave

Health Insurance

Job summary

Social Multiway Sdn Bhd in Kuala Lumpur seeks an experienced AI engineer to design RAG systems and integrate LLMs across applications. You will build robust APIs for AI services, collaborate with mobile teams for native iOS/Android integration, and use Python for backend AI work and data processing.

Deploy AI solutions on AWS/Azure/GCP, optimize performance and costs, and contribute to scalable, maintainable architectures in an Agile environment.

Qualifications

• Experience designing RAG systems for AI models.
• Ability to integrate LLMs across apps and platforms.
• Develop robust APIs for AI services with scalable architecture.
• Collaborate with mobile teams for native iOS/Android integration.
• Proficient in Python for backend AI work and data processing.
• Experience deploying on AWS/Azure/GCP and optimizing costs.
• Strong problem-solving skills and Agile workflow participation.
• Familiarity with data structures, algorithms, and system design.

Responsibilities

• Design, develop, and implement RAG systems to enhance AI models.
• Integrate LLMs with existing and new applications for mobile readiness.
• Develop and maintain robust APIs for AI services.
• Collaborate with product and mobile teams to deliver AI features.
• Utilize Python and cloud platforms to build scalable AI solutions.
• Troubleshoot performance and reliability in RAG/LLM pipelines.
• Participate in Agile ceremonies and CI/CD processes.
• Stay informed on AI advancements and propose innovations.

Skills

RAG development

API design

Python programming

Agile methods

Problem solving

Tools

AWS

Azure

GCP

Python

CI/CD

Job description

Social Multiway Sdn Bhd in Kuala Lumpur seeks an experienced AI engineer to design RAG systems and integrate LLMs across applications. You will build robust APIs for AI services, collaborate with mobile teams for native iOS/Android integration, and use Python for backend AI work and data processing.

Deploy AI solutions on AWS/Azure/GCP, optimize performance and costs, and contribute to scalable, maintainable architectures in an Agile environment.