AI Research Senior Engineer

7 days ago

Pune, India VOICERAcx Full time

Location: Pune, India (Hybrid: 4 days onsite + 1 day remote)Department: AI Research & DevelopmentExperience Level: Senior / Research-FocusedWe 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 initiativesCompetitive compensation and benefits.Flexible hybrid work model (4 days onsite + 1 day remote).

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