AI Research Senior Engineer

1 week ago

Pune Division, India 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).  

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