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Principal Software Engineer- AI at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 3 years. JobType: full-time. Are you passionate about pushing the boundaries of human-computer interaction? Do you have a flair for building cutting-edge voice AI technologies that transform the customer experience? We are looking for an experienced . Principal Software Engineer- AI . to join our innovative team and help us design, develop, and deploy AI-powered calling agents.. As a . Principal Software Engineer- AI. , you will play a pivotal role in creating next-generation voice systems by combining your expertise in . Text-to-Speech (TTS). , . Natural Language Processing (NLP). , . Machine Learning (ML). , and . Data Science. . Your work will directly impact the design of lifelike conversational agents capable of seamless interactions with human users. You’ll collaborate with cross-functional teams, including data scientists, software engineers, product managers, and linguists, to deliver exceptional voice-driven solutions.. Key Responsibilities:. . Design and develop scalable . Voice AI calling agents. using state-of-the-art TTS and NLP techniques. . . Build and fine-tune . text-to-speech systems. to produce natural, human-like speech output tailored for diverse customer interactions. . . Develop and optimize . NLP pipelines. for intent recognition, named entity extraction, sentiment analysis, and context-aware dialogue management. . . Integrate . machine learning models. and . AI frameworks. to enhance conversation flow, personalize interactions, and improve response accuracy. . . Apply . data science principles. to analyze large datasets, identify performance bottlenecks, and continuously improve voice AI models. . . Collaborate closely with data annotation and linguistic teams to enhance language models and ensure high-quality speech synthesis and comprehension. . . Conduct rigorous testing, validation, and performance tuning of the AI calling agents to ensure seamless, real-time voice interactions. . . Stay abreast of the latest advancements in TTS, NLP, ML, and voice AI technologies, and apply innovative solutions to business challenges. . . Document system architecture, workflows, and best practices to support long-term scalability and maintainability. . . Required Skills & Qualifications:. . . 3–6 years of hands-on experience. in developing . voice-based AI solutions. , including TTS, NLP, and conversational AI applications. . . Solid understanding of . text-to-speech (TTS) engines. , speech synthesis techniques, and audio signal processing. . . Proven experience with . natural language processing (NLP). frameworks such as . spaCy. , . NLTK. , . Transformers. , or similar libraries. . . Strong foundation in . machine learning. and . data science. , with proficiency in Python, TensorFlow, PyTorch, or similar tools. . . Experience working with . voice AI platforms. and APIs (e.g., Google Dialogflow, Amazon Lex, Microsoft Bot Framework). . . Knowledge of . dialogue management. , . speech recognition systems. , and conversational flow design. . . Ability to analyze large datasets and apply . statistical methods. and . AI algorithms. to enhance system performance. . . Strong problem-solving, collaboration, and communication skills to work effectively in cross-functional teams. . . Bachelor’s or Master’s degree in . Computer Science. , . Data Science. , . AI/ML. , . Computational Linguistics. , or a related field. . . Preferred:. . Familiarity with . neural TTS models. (e.g., Tacotron, WaveNet) and . transformer-based NLP models. . . . Experience in developing . real-time voice applications. with low-latency requirements. . . Exposure to . cloud-based voice solutions. (AWS, GCP, Azure) for scalable deployments. . . Company Location: India.