Maryland · Noida · full time · mid level
We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants. The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies. Responsibilities: Drive the full lifecycle development, from design to deployment, of scalable chatbots and virtual assistants using Microsoft Bot Framework, Kore.ai, or similar conversational AI technologies. Collaborate with cross-functional teams including product managers, designers, and UX/UI specialists to gather requirements, design conversational flows, and implement user stories. Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques so chatbots can understand user intent and respond accurately. Leverage generative AI services to enhance chatbot responses with creativity and personalization. Develop chatbots for deployment across multiple channels such as web, mobile apps, and messaging platforms while ensuring a seamless user experience. Conduct thorough testing and debugging to maintain high performance and accuracy of conversational AI solutions. Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization. Stay updated on the latest advancements in conversational AI technologies and best practices. Preferred Qualifications: The ideal candidate will have three or more years of experience in software development, preferably with a focus on conversational AI or chatbots. They should have deep expertise in Azure Bot Framework v4, including the use of Adaptive Dialogs, Waterfall Dialogs, and middleware customization. Strong backend development skills are required, with advanced proficiency in C#, .NET, JavaScript, CSS, and HTML for custom bot logic. Hands-on experience with Azure Integration Services, including Azure Functions and Logic Apps, is expected for orchestrating workflows between the bot and external systems. The candidate should have proven experience with Salesforce API integrations using REST or SOAP, particularly for Live Agent handoffs, knowledge base retrieval, and case creation. Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs is also important. The role requires experience implementing hybrid AI strategies that combine classical NLU services such as Azure CLU with generative AI models like Azure OpenAI or GPT for fallback handling or content generation. Familiarity with middleware platforms such as MuleSoft or similar enterprise service bus solutions is preferred. The candidate should possess data-driven optimization skills, including the use of Power BI to analyze conversation logs, identify drop-off points, and improve NLU accuracy. Experience leading the software development lifecycle, including defining CI/CD pipelines for bot deployment across development, testing, and production environments, is highly valued. Strong communication, collaboration, and problem-solving skills are essential, along with the ability to work independently and manage multiple projects simultaneously. A passion for innovation and a strong desire to push the boundaries of conversational AI technology are also important. Benefits: You will be part of a cutting-edge team at the forefront of conversational AI development in higher education, working on challenging and rewarding projects that make a real impact. The role offers opportunities to learn and grow your skills in a dynamic and fast-paced environment.