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  The AI Engineer will work at the intersection of AI Research, Product Engineering, and Production, focusing on the development of advanced Speech AI and Voice AI capabilities.
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  The role involves researching and developing speech technologies, building end-to-end AI pipelines, deploying models into production environments, and continuously optimizing AI systems for accuracy, scalability, latency, and real-world performance.

Speech AI Research & Development

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  Explore and prototype new approaches to solve complex speech and audio AI problems.
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  Develop, fine-tune, and adapt speech models for practical real-world applications.
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  Evaluate different modeling approaches and conduct systematic experiments to improve model performance.
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  Research and reproduce state-of-the-art Speech AI methods and translate promising research findings into production-ready solutions.
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  Design rigorous experiments, benchmarks, and error analyses to understand model limitations and identify opportunities for improvement.
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  Explore alternative modeling approaches when existing solutions are insufficient.

Speech AI System Development

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  Develop and optimize intelligent voice technologies, including Automatic Speech Recognition, Text-to-Speech, audio processing, speech enhancement, speech understanding, and voice interaction systems.
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  Improve speech recognition accuracy, robustness, and performance across different environments and use cases.
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  Improve speech synthesis quality, naturalness, and reliability.
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  Design AI solutions that can operate effectively under real-world audio conditions.

End-to-End Audio AI Pipelines

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  Design, develop, and optimize production-ready audio AI pipelines that connect AI models with real-world applications.
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  Build audio preprocessing and feature extraction pipelines.
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  Develop noise suppression and speech enhancement capabilities.
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  Build and optimize real-time audio streaming and processing systems.
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  Develop model serving and inference pipelines.
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  Integrate AI models into cloud, mobile, and other deployment environments.
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  Design and implement end-to-end AI workflows from data preparation and model development through deployment and monitoring.

AI-Powered Product Development

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  Collaborate closely with Product, Mobile, Backend, and other Engineering teams to transform AI capabilities into practical product experiences.
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  Contribute to voice recording and transcription capabilities.
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  Develop AI-powered voice assistants and voice-driven workflows.
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  Build natural conversational experiences and speech-enabled product features.
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  Integrate AI capabilities into mobile applications and business workflows.

AI Model Production & Scalability

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  Take AI models from research prototypes through deployment into reliable production systems.
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  Optimize inference latency and computational resource consumption.
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  Optimize AI models for different deployment environments and hardware constraints.
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  Build scalable, stable, and reliable AI services.
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  Monitor model performance in production environments and use real-world feedback to continuously improve models and systems.
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  Identify performance degradation, model limitations, and opportunities for optimization after deployment.

Data & Experimentation

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  Build and improve high-quality datasets for model training and evaluation.
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  Contribute to data collection, synthetic data generation, data augmentation, and quality validation processes.
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  Develop appropriate evaluation datasets and benchmarks for Speech AI applications.
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  Continuously improve models and datasets based on experimental results and production feedback.

Requirements

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  At least 3 years of experience developing AI/ML systems or AI-powered products.
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  Strong Python programming skills.
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  Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or equivalent technologies.
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  Proven experience deploying AI models into production environments.
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  Solid understanding of speech processing, audio machine learning, and deep learning techniques.
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  Hands-on experience with at least one area of Speech AI, including Automatic Speech Recognition, Text-to-Speech, Audio AI, or Voice AI applications.
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  Ability to design and implement end-to-end AI and machine learning workflows.
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  Experience conducting model experimentation, evaluation, benchmarking, and performance optimization.
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  Ability to translate research concepts into practical and scalable engineering solutions.
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  Strong analytical and problem-solving skills.
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  Product-oriented mindset with the ability to balance model performance, engineering constraints, and user experience.
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  Ability to collaborate effectively with cross-functional engineering and product teams.

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  Experience working with modern Speech AI foundation models, frameworks, or technologies such as Whisper, wav2vec 2.0, NVIDIA NeMo, XTTS, VITS, SpeechBrain, Kaldi, or equivalent solutions.
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  Experience deploying AI models on mobile or edge devices.
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  Experience with real-time audio streaming and processing systems.
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  Knowledge of speaker recognition and speaker diarization.
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  Experience with voice cloning technologies.
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  Strong knowledge of digital audio and signal processing.
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  Experience integrating Large Language Models into AI applications.
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  Experience developing conversational AI or intelligent voice interaction systems.

Benefits

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  Competitive compensation and performance-based incentives based on capabilities and contribution.
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  Full statutory benefits in accordance with applicable labor regulations and company policies.
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  Opportunities to work on challenging AI problems and apply state-of-the-art research to real-world applications.
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  Ownership of the complete AI development lifecycle, from research and experimentation to model development, deployment, monitoring, and continuous optimization.
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  Opportunities to collaborate with experienced AI Engineers, Software Engineers, and Product professionals.
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  Strong exposure to production-scale AI engineering and the development of practical Speech AI and Voice AI products.
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  Continuous learning and professional development opportunities in artificial intelligence, machine learning, speech technologies, and production AI systems.
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  Opportunities to create measurable product impact by developing AI capabilities that directly improve user experiences.

Contact: Giang Van or Thao Phan or Thuong Le