Research Engineer

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗥𝗮𝗻𝗴𝗲: ₹15,00,000 – ₹25,00,000 (i.e., INR 15–25 LPA)

Experience: 1+ yrs

Location: India

Job Type: Full-time

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.

Requirements

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.

Must-Have Skills

• 1–4 years of hands-on experience in AI/ML, machine learning engineering, research engineering, or a related field.
• Strong programming skills in Python and familiarity with AI/ML development workflows.
• Solid understanding of machine learning and deep learning concepts, including model training, evaluation, optimization, and inference.
• Hands-on exposure to LLMs, Generative AI, NLP, or conversational AI.
• Strong understanding of voice agent architectures and conversational AI pipelines.
• Familiarity with speech-to-text (STT), text-to-speech (TTS), speech processing, and voice interaction systems.
• Experience working with frameworks and libraries such as PyTorch, TensorFlow, Hugging Face, Transformers, or similar technologies.
• Ability to design experiments, analyze results, troubleshoot model behavior, and iterate rapidly.
• Strong problem-solving and analytical skills with an ability to work on ambiguous research problems.

Good-to-Have Skills

• Experience building or deploying real-time voice agents.
• Knowledge of RAG, vector databases, embeddings, function calling, tool use, and agentic workflows.
• Familiarity with speech models, audio processing, diarization, wake-word detection, or speech enhancement.
• Experience with APIs and cloud platforms such as AWS, GCP, or Azure.
• Knowledge of model serving, inference optimization, quantization, or low-latency AI systems.
• Exposure to open-source LLMs and speech models.

Education

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