Lead Conversational AI Developer

Duties and Responsibilities

• Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies
• Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories
• Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly
• Leverage Generative AI services to enhance chatbot responses with creativity and personalization
• Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience
• Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions
• Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization

Required Qualifications

• Education: Bachelor’s Degree
• Experience: 5+ years of experience in software development, preferably with a focus on conversational AI or chatbots
• Expertise: Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic
• Experience: Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems
• Integration: Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation
• Data Storage: Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs
• Hybrid AI: Proven experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation
• Middleware: Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange
• Data Analysis: Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements
• SDLC Leadership: SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod)
• Communication: Excellent communication, collaboration, and problem-solving skills
• Desire: Passion for innovation and a strong desire to push the boundaries of Conversational AI technology