Description

In this role, you will lead the development of innovative Voice AI solutions while mentoring a talented engineering team. Your day-to-day responsibilities will involve collaborating with cross-functional teams, driving technical initiatives, and ensuring the delivery of high-quality voice experiences.

Requirements

• •Oversight of researchers in ASR, TTS, LLM, and voice systems
• •Leadership in Voice AI solutions research and design
• •Mentorship and scaling of AI/ML engineering team
• •Collaboration across research, engineering, and product teams
• •Oversight of large-scale AI research and development projects
• •Architecture and implementation of AI models using deep learning
• •Championing best practices in software development
• •Continuous research and application of AI/ML breakthroughs
• •Collaboration with stakeholders on technical vision and strategy
• •Passion for AI/ML frontiers and real-world applications
• •Proven expertise in speech and NLP models
• •Deep knowledge of AI architectures and fine-tuning models
• •Skilled in programming languages and tools including Python, C++, Java, R
• •Demonstrated leadership in AI/ML team building
• •Experience deploying voice AI systems in production
• •Track record of managing large-scale research projects
• •Background in developing AI-driven speech technologies
• •M.S. in Engineering, Computer Science, or related field
• •Architectural ownership of voice-first AI Agent platform
• •Ownership of complex technical initiatives from concept to production
• •Design and development of real-time voice components
• •Establishment of engineering best practices and coding standards
• •Technical leadership and guidance to project team
• •Mentorship of Senior and mid-level engineers
• •Cross-functional strategy alignment with product and ML teams
• •Design and improve evaluation platforms for voice agent performance
• •Architect and implement advanced safety and reliability mechanisms
• •10+ years of progressive experience in software engineering
• •Expertise in LLM-oriented system architecture
• •Mastery in voice AI and spoken dialogue systems
• •Integration and management of real-time STT/TTS models
• •Advanced techniques for voice activity detection and noise suppression
• •Architecting robust barge-in and interruption logic
• •Deep expertise in deploying AI applications to cloud platforms
• •Comprehensive understanding of foundational ML concepts
• •Expert-level proficiency in Python and modern web frameworks
• •M.S. or Ph.D. in Computer Science, NLP, or Machine Learning
• •Experience with real-time streaming architectures
• •Technical presentation, publication, or open-source contribution
• •Driving organizational adoption of new technologies

Tasks

• •Lead the research and design of next-generation Voice AI solutions
• •Build and mentor a high-performing AI/ML engineering team
• •Drive collaboration across research scientists, software engineers, and product teams
• •Oversee large-scale AI research and development projects
• •Architect and implement AI models using deep learning algorithms
• •Champion best practices in software development
• •Continuously research and apply the latest breakthroughs in AI/ML
• •Collaborate with stakeholders to define technical vision and strategy
• •Define the technical vision and architect the voice-first AI Agent platform
• •Own and drive complex technical initiatives from concept to production
• •Lead the design and development of real-time voice components
• •Establish and enforce engineering best practices and coding standards
• •Provide technical leadership and guidance to the project team
• •Mentor senior and mid-level engineers within the Voice AI team
• •Serve as the primary technical partner for cross-functional teams
• •Design and improve platforms for evaluating voice agent performance
• •Architect and implement advanced safety and reliability mechanisms

Tools & Technologies