AI Research Senior Engineer

Location:

Department:

Experience Level:

We appreciate diverse experiences, but this role is not suitable for candidates whose primary experience is limited to orchestration or prompt engineering of pre-trained LLMs. We are looking for individuals with deep research and model development expertise. Thank you for understanding.

About the Role:

Senior Voice AI R&D Engineer

Key Responsibilities:

• Architect and optimize

  low-latency voice AI pipelines

  for real-time applications and multi agentic platform.
• Conduct

  original research

  in voice AI, contextual understanding, and hallucination mitigation.
• Design, train, and fine-tune

  LLMs

  tailored for voice-based interactions.
• Develop and implement

  hallucination control algorithms

  to improve model reliability.
• Collaborate with cross-functional teams to integrate research outcomes into production systems.
• Publish and present research findings in top-tier conferences and journals.

Required Qualifications:

• PhD

  in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent research experience).
• Minimum

  2 published research papers

  in reputable AI/ML/Voice journals or conferences.
• At least

  2 years of hands-on experience

  in voice AI R&D, including model training and pipeline optimization.
• Strong programming skills in Python and frameworks like PyTorch or TensorFlow.
• Deep understanding of LLM architectures, voice signal processing, and latency optimization.

Preferred Skills:

• Experience with real-time voice systems (e.g., ASR, TTS, voice assistants).
• Familiarity with hallucination detection and mitigation techniques.
• Knowledge of transformer-based models and fine-tuning strategies for voice tasks.
• Experience with deployment and scaling of voice AI models in production environments.

What We Offer:

• Opportunity to work on

  cutting-edge voice AI research and multi agentic multi modal platform

  .
• Collaborative environment and exposure to global initiatives
• Competitive compensation and benefits.
• Flexible hybrid work model (4 days onsite + 1 day remote).