AI Research Senior Engineer

3 days ago

PunePimpriChinchwad Area, IN VOICERAcx Full time

Location: Pune, India (Hybrid: 4 days onsite + 1 day remote)

Department: AI Research & Development

Experience Level: Senior / Research-Focused

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:

We are seeking a highly skilled and research-driven Senior Voice AI R&D Engineer to join our cutting-edge team focused on building low-latency, contextual Voice AI systems. This role demands deep expertise in designing and optimizing real-time voice AI pipelines, training Large Language Models (LLMs) for voice-specific tasks, and developing hallucination control algorithms to ensure reliable and accurate responses.


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).


Candidates are requested to submit their resumes by Tuesday,16th Dec.

The technical test will be conducted on Wednesday and Thursday, followed by final technical interviews on Friday, and the offer will be closed by Saturday(20th Dec)

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