Posted Oct 16, 2025 143 views
We are developing a cutting-edge AI Agent designed to engage in real-time, human-like conversations with prospects. This innovative technology enables businesses to automate outreach and scale communication with intelligence and empathy. We are looking for a talented AI Engineer to enhance our speech intelligence capabilities, focusing on real-time Text-to-Speech (TTS), Speech-to-Text (STT), and conversational voice models. The ideal candidate will play a key role in advancing our voice-based AI systems and delivering seamless, natural interactions.
Key Responsibilities
- Design, build, and optimize data pipelines specifically for speech-based AI applications.
- Develop and fine-tune TTS and STT models, with expertise in Whisper fine-tuning.
- Implement Voice Activity Detection (VAD) to support real-time audio processing.
- Apply Natural Language Processing (NLP) techniques for intent detection, dialogue management, and response generation.
- Collaborate on integrating speech and NLP models into scalable, real-time conversational pipelines.
- Work closely with product and backend teams to deploy scalable architectures for voice agents.
- Conduct research and experimentation with state-of-the-art voice synthesis, speaker adaptation, and emotion modeling methods.
- Continuously improve latency, clarity, and realism of AI-generated speech to enhance user experience.
Required Qualifications
- Strong background in Machine Learning and Deep Learning within Speech or NLP domains.
- Proficiency with PyTorch or TensorFlow frameworks and familiarity with libraries such as Hugging Face Transformers.
- Hands-on experience with TTS, STT, or NLP models, including Whisper, Tacotron, FastSpeech, GPT, BERT, or LLaMA.
- Solid understanding of data engineering principles and real-time inference pipeline development.
- Experience with cloud platforms like AWS, GCP, or Azure, along with API integration skills.
- Excellent analytical thinking, effective communication skills, and a strong sense of ownership.
Preferred Qualifications and Benefits
- Experience fine-tuning pre-trained AI models for speech or text applications is highly desirable.
- Familiarity with building and maintaining real-time AI architectures and data pipelines.
- Ability to discuss previous AI or NLP projects, including tools and frameworks used.
- This is a full-time remote position offering flexible work location options.
If you have experience working with TTS or STT models such as Whisper, hands-on expertise with NLP or large language models like BERT, GPT, or Hugging Face Transformers, and a passion for advancing speech intelligence, we encourage you to apply. Join us in creating innovative voice-based AI solutions that transform business communication.
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