Research Engineer

The Role

We are looking for a highly motivated and technically strong Research Engineer with 1–4 years of experience to join our AI/ML team and work on next-generation voice agent technologies. The ideal candidate will have a strong foundation in machine learning, deep learning, natural language processing, and speech technologies, along with a passion for researching and building intelligent conversational systems.

You will work at the intersection of AI research and engineering, transforming emerging techniques into reliable, scalable, and production-ready voice experiences. This role involves experimentation, prototyping, model evaluation, optimization, and hands-on development of AI-powered voice agents.

Key Responsibilities

• Research, prototype, and develop AI/ML models and systems for conversational and voice-based applications.
• Design and build intelligent voice agents capable of understanding user intent, maintaining conversational context, and generating natural responses.
• Work with speech-to-text (STT), text-to-speech (TTS), natural language understanding (NLU), and large language models (LLMs) to develop end-to-end voice experiences.
• Experiment with different ML architectures, prompting strategies, model configurations, and agentic workflows to improve accuracy, latency, and conversational quality.
• Develop and evaluate prototypes using Python and modern AI/ML frameworks.
• Research emerging developments in Generative AI, conversational AI, speech AI, multimodal models, and agent architectures and identify opportunities for practical implementation.
• Create evaluation frameworks, benchmarks, and experiments to measure model and voice-agent performance.
• Analyze model outputs, identify failure modes, and develop techniques to improve robustness, relevance, and response quality.
• Collaborate with software engineers, product teams, and researchers to transition successful experiments into production systems.
• Optimize AI/ML pipelines for scalability, inference performance, reliability, and real-time voice interaction.
• Document research findings, technical approaches, experiments, and results.