Artificial Intelligence Engineer

Key Responsibilities - Participate in end to end development and integration of AI features for wearables, covering requirement decomposition, solution design, joint debugging/testing, and version iteration. - Contribute to building and optimizing large-model application pipelines (Prompt, RAG, tool calling, service orchestration) to improve scenario performance and response stability. - Engage in on-device model deployment and performance optimization, including model conversion, quantization compression, inference acceleration, and resource tuning (latency, memory, power consumption). - Support the engineering development of AI Agents, implementing capabilities such as task planning, tool invocation, and multi-turn memory in device scenarios. - Collaborate with product, algorithm, system, and testing teams on data analysis, effect evaluation, issue diagnosis, and closed-loop improvement. - Contribute to engineering best practices, including evaluation baselines, logging/monitoring, graceful fallback, release management, and stability assurance mechanisms. - Requirements - Bachelor’s degree or above in Computer Science, Artificial Intelligence, Software Engineering, Electronic Information, Automation, or related fields. - Solid programming skills with proficiency in at least one of Python, C++, or Java. - Basic knowledge of machine learning and deep learning, with an understanding of core concepts such as Transformer and attention mechanisms. - Familiar with at least one AI application development approach (e.g., large-model API integration, RAG, Prompt engineering, workflow orchestration). - Interest in on-device AI engineering; familiarity with any of ONNX, TFLite, NCNN, MNN, or ONNXRuntime is a plus. - Basic engineering debugging capabilities, able to independently diagnose common issues (performance fluctuations, API timeouts, resource anomalies, stability problems). - Strong learning ability and good communication/collaboration skills, capable of driving issue resolution and delivery in cross-team settings. - Since this role involves frequent collaboration with the Chinese team, candidates must be proficient in Chinese.

• Head of Artificial Intelligence

  Morgan McKinley · Singapore, Singapore

• Research Fellow (Artificial Intelligence, Computer Science, Data Science)

  Singapore, Singapore

• Research Scientist (Artificial Intelligence / Computer Science / Machine Learning / Natural Language Processing / Information Retrieval / Data Science)

  Singapore, Singapore

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  Infineon Technologies · Singapore

• Artificial Intelligence Engineer

  Singapore, Singapore

• Research Scientist (Computer Science / Artificial Intelligence / Machine Learning / Natural Language Processing)

  Singapore, Singapore