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Position Description
About us
Cinnamon AI is the pioneer in business consulting and developing AI solutions. We aim to become the No.1 Global Business AI Company by creating disruptive innovations continuously. Our existing products include AI Document Reader (Flax Scanner), Document Understanding (Aurora), Speech Understanding (Rossa Voice), Computer Vision and we keep expanding. Cinnamon’s uniqueness relies on the capability to not only develop state- of- the- art core technology but also advise top executives on redesigning business strategy and operations processes to truly drive intelligent transformation.
As the AI Engineer, we are looking for members to join our AI team. You will work closely with all stakeholders to architect efficient APIs to survey latest research trend and build accurate models on various tasks. This is an exciting opportunity for those who enjoy R&D and be challenged and grow in the field of AI- First software / product development. Along the way this role will contribute to game- changing products for the multi- trillion- dollar industry.
Responsibilities and Performance Objectives
Design, develop, and deploy advanced AI- powered solutions in collaboration with cross- functional teams, ensuring alignment with business goals and technical standards.
Work closely with DevOps and infrastructure teams to streamline AI system deployment, scaling, and management using automation techniques.
Mentor junior engineers and drive the continuous enhancement of engineering processes and practices.
Development of a Retrieval- Augmented Generation (RAG) platform with product team.
Perform detailed performance analysis and tuning to guarantee AI systems&039; optimal functionality in production settings.
Architect and implement scalable, robust AI systems capable of handling extensive data volumes and user interactions.
Apply expertise in machine learning, deep learning, and other AI methodologies to develop high- performance models and algorithms.
Keep abreast of the latest developments in AI, machine learning, cloud services, and related technologies.
Enhance AI system efficiency by optimizing resource usage, integrating cloud solutions, and employing hardware acceleration.
Establish and maintain monitoring, logging, and alerting frameworks to proactively address performance issues and anomalies.