Social Multiway Hiring! Full Time AI Integration Engineer in WP Kuala Lumpur - Ricebowl

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.

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.