AI Research Senior Engineer

2 days ago

Pune, Maharashtra, India VOICERAcx Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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).

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