Research Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Conduct research, prototype, and develop AI/ML models and systems tailored for conversational and voice-driven applications.

• Design and create intelligent voice agents capable of comprehending user intent, maintaining conversational context, and generating natural responses.

• Collaborate with STT, TTS, NLU, and LLMs to craft comprehensive voice experiences.

• Explore ML architectures, prompting techniques, model configurations, and agent workflows to enhance accuracy, reduce latency, and elevate conversational quality.

• Build and assess prototypes utilizing Python and contemporary AI/ML frameworks.

• Investigate Generative AI, conversational AI, speech AI, multimodal models, and agent architectures for real-world applications.

• Develop evaluation frameworks, benchmarks, and experiments to assess model and voice-agent performance.

• Analyze model outputs, detect failure modes, and enhance robustness, relevance, and response quality.

• Partner with software engineers, product teams, and researchers to transition experimental work into production systems.

• Optimize AI/ML pipelines for scalability, inference performance, reliability, and real-time voice interactions.

• Document research findings, technical methodologies, experiments, and outcomes.

⛳️ Requirements

• 1–4 years of practical experience in AI/ML, machine learning engineering, research engineering, or a comparable field.

• Proficient programming skills in Python and a solid understanding of AI/ML development processes.

• Comprehensive knowledge of machine learning and deep learning principles, including model training, evaluation, optimization, and inference.

• Practical experience with LLMs, Generative AI, NLP, or conversational AI.

• Strong grasp of voice agent architectures and conversational AI workflows.

• Familiarity with STT, TTS, speech processing, and voice interaction technologies.

• Experience with PyTorch, TensorFlow, Hugging Face, Transformers, or related technologies.

• Ability to design experiments, analyze findings, troubleshoot model behavior, and iterate quickly.

• Strong problem-solving and analytical abilities for navigating ambiguous research challenges.

• Experience in building or deploying real-time voice agents is advantageous.

• Knowledge of RAG, vector databases, embeddings, function calling, tool usage, and agentic workflows is a plus.

• Familiarity with speech models, audio processing, diarization, wake-word detection, or speech enhancement is beneficial.

• Experience with APIs and cloud platforms such as AWS, GCP, or Azure is preferred.

• Understanding of model serving, inference optimization, quantization, or low-latency AI systems is a plus.

• Exposure to open-source LLMs and speech models is an added advantage.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related technical discipline.

🏝️ Benefits

• Opportunity to work on cutting-edge AI/ML technologies.

• Collaborative and innovative work environment.

• Professional growth and development opportunities.

• Competitive salary and comprehensive benefits package.