Conversational AI Engineer

Accountabilities:: You will lead the technical implementation of conversational AI solutions, ensuring that chatbots and voicebots deliver accurate, reliable, and natural interactions. Working closely with engineering, product, data, and business teams, you will oversee integrations, model optimization, and deployment practices while establishing scalable frameworks for intelligent automation. Design, develop, and deploy conversational AI solutions, including chatbots and voicebots powered by LLMs, Agentic AI, and NLU technologies. Implement system integrations to enable seamless automation and connectivity across multiple platforms and environments. Develop and optimize prompts and structure knowledge bases to ensure accurate, relevant, and context-aware AI responses. Apply AI safety principles by implementing safeguards, governance frameworks, and reliability measures to ensure responsible model behavior. Configure, maintain, and optimize Speech-to-Text (STT) and Text-to-Speech (TTS) systems to deliver high-quality voice interactions and seamless telephony integration. Evaluate, fine-tune, deploy, and continuously monitor AI models to improve performance, scalability, and reliability. Apply Agentic AI expertise to design implementation frameworks and provide technical recommendations for advanced conversational solutions. Develop best practices for hybrid conversational bots combining NLU and LLM capabilities. Document system architectures, technical configurations, integrations, and deployment procedures to ensure transparency and reproducibility. Collaborate with developers, data analysts, product teams, UX specialists, and business stakeholders to align technical solutions with organizational objectives. Contribute to continuous improvement initiatives across conversational AI architectures, automation processes, and customer experience solutions. Requirements : The ideal candidate is an experienced AI engineer with strong expertise in conversational AI, voicebot development, and machine learning technologies. You should have a proven ability to build and deploy LLM-powered solutions, manage complex integrations, and optimize AI systems in production environments. Strong analytical, communication, and collaboration skills are essential, along with a commitment to responsible AI development. At least 5 years of experience developing and implementing LLM-powered voicebots. Strong experience with machine learning and deep learning frameworks. Knowledge of data preprocessing, feature engineering, and data pipeline development. Hands-on experience with AI models for chatbot and voicebot applications. Experience in model evaluation, fine-tuning, deployment, and performance optimization. Familiarity with conversational AI platforms for chatbot and voicebot development; experience with Cognigy is a plus. Practical knowledge of speech technologies, including Speech-to-Text (STT) and Text-to-Speech (TTS) systems. Strong technical skills in model deployment, API development, and system integrations. Ability to monitor, evaluate, and optimize AI models for performance, scalability, reliability, and operational efficiency. Understanding of AI safety, bias mitigation, governance, and ethical practices in conversational AI. Ability to document technical architectures, configurations, and deployment procedures clearly and effectively. Strong collaboration and communication skills, with the ability to work across product, engineering, UX, and business teams. Fluent written and spoken English, with a minimum proficiency level of C1. Ability to work remotely while being located and legally eligible to work in India. Benefits : Fully remote working arrangement within India. Opportunity to work with cutting-edge conversational AI, automation, and customer experience technologies. Exposure to Genesys delivery and advanced chatbot and voicebot solutions. Collaboration with global clients across the United States and EMEA. Opportunity to work on complex, high-visibility projects in a fast-paced international environment. Collaboration with experienced professionals across AI, automation, performance, and agent technologies. Exposure to multiple projects and clients, offering opportunities to strengthen technical and project management capabilities. Opportunities to develop client relationship, leadership, and problem-solving skills. Professional growth through hands-on experience with emerging AI technologies and innovative customer experience solutions.