United States onlyResponsibilities:
- 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
- This will be a Remote role.
- 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
- Stay updated on the latest advancements in Conversational AI technologies and best practices
Preferred Qualifications:
- 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots
- Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization
- Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic
- Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems
- Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation
- Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs
- 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 familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange
- Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements
- SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod)
- Excellent communication, collaboration, and problem-solving skills
- Ability to work independently and manage multiple projects simultaneously
- Passion for innovation and a strong desire to push the boundaries of Conversational AI technology
Preferred Experience:
- UMGC or USM prior experience preferred.
Benefits:
- Be a part of a cutting-edge team at the forefront of Conversational AI development in Higher Education
- Work on challenging and rewarding projects that make a real impact
- Opportunity to learn and grow your skills in a dynamic and fast-paced environment
AU, CA + 5 more