Job Description

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).
Job Types: Full-time, Permanent

Pay: ₹500,000.00 - ₹1,500,000.00 per year

Benefits:

Provident Fund
Work Location: In person