Artificial Intelligence Engineer

SHOKZ (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

SHOKZ (SINGAPORE) PTE. LTD. based in Singapore is seeking an AI engineer to contribute to building and optimizing speech models (ASR, TTS) and pipelines to improve performance and stability for wearables.

You will lead on-device deployment, debugging, and integration of AI features, collaborating with product, algorithm, system and testing teams to deliver robust, efficient solutions and ongoing improvements. Strong coding in Python/C++/Java and Chinese proficiency will help in cross-team work.

Qualifications

• Bachelor’s degree or above in Computer Science, AI, Software Engineering, or related fields.
• Solid understanding of mainstream ASR/speech technologies, LLM frameworks and deep learning architectures (Transformer, Conformer, RNN-T, BERT).
• Proficient in Python, C++, or Java.
• Familiar with AI application development approaches (e.g., large-model API integration, RAG, Prompt engineering, workflow orchestration).
• Interest in on-device AI engineering; familiarity with ONNX, TFLite, NCNN, MNN, or ONNXRuntime is a plus.
• Strong debugging capabilities and ability to drive issue resolution across teams.
• Good communication and collaboration skills; proficient in Chinese due to cross-team work.

Responsibilities

• Contribute to building and optimizing speech model (ASR, TTS etc.) and application pipelines (Prompt, RAG, tool calling, service orchestration) to improve scenario performance and response stability.
• Participate in end to end development and integration of AI features for wearables, covering requirement decomposition, solution design, joint debugging/testing, and version iteration.
• Engage in on-device model deployment and performance optimization, including model conversion, quantization, inference acceleration, and resource tuning (latency, memory, power).
• 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.

Skills

ASR/speech technologies

LLM frameworks

Deep learning architectures

Python

C++

Java

AI application development

On-device AI engineering

Chinese proficiency

Debugging skills

Cross-team collaboration

Education

Bachelor's degree or above in Computer Science/AI/Software Engineering/related fields

Tools

ONNX

TFLite

NCNN

MNN

ONNXRuntime

Job description

Location: Based in Singapore

Key Responsibilities

• Contribute to building and optimizing speech model (ASR, TTS etc.) and application pipelines (Prompt, RAG, tool calling, service orchestration) to improve scenario performance and response stability.

• Participate in end to end development and integration of AI features for wearables, covering requirement decomposition, solution design, joint debugging/testing, and version iteration.

• 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 understanding of mainstream ASR/speech technologies, LLM frameworks, and Deep Learning architectures (Transformer, Conformer, RNN-T, BERT) .

• Solid programming skills with proficiency in at least one of Python, C++, or Java.

• 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.