
Lead Conversational AI Developer
Posted Jul 17

Posted Jul 17
This is a fully remote position, open to applicants in United States.
• Lead the complete lifecycle development — spanning design to deployment — of scalable chatbots and virtual assistants using Microsoft Bot Framework, Kore.ai, or comparable CAI technologies.
• Work collaboratively with cross-functional teams (product managers, designers, UX/UI experts) to gather requirements, craft conversational flows, and execute user stories.
• Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to empower chatbots to comprehend user intent and respond appropriately.
• Utilize Generative AI services to enhance chatbot interactions with creativity and personal touch.
• Create chatbots for deployment across various channels (web, mobile apps, messaging platforms) to ensure a cohesive user experience.
• Perform extensive testing and debugging to guarantee high performance and accuracy of conversational AI solutions.
• Monitor and assess user interactions and chatbot performance to pinpoint areas for enhancement and optimization.
• Keep abreast of the latest developments in Conversational AI technologies and industry best practices.
• Education: Bachelor’s Degree.
• Experience: Over 5 years in software development, ideally with a specialization in conversational AI or chatbots.
• In-depth knowledge of Azure Bot Framework v4, especially in utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization.
• Strong backend development capabilities with advanced proficiency in C#, .NET, JavaScript, CSS, and HTML for custom bot logic.
• Practical experience with Azure Integration Services, employing Azure Functions and Logic Apps to coordinate workflows between the bot and external systems.
• Proven track record with Salesforce API integrations (REST/SOAP), particularly for managing Live Agent transitions, Knowledge base access, and Case creation.
• Experience in configuring Azure Cosmos DB for storing conversation states, user information, and telemetry logs.
• Experience in executing Hybrid AI strategies, merging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fallback handling or content generation.
• Familiarity with middleware, including exposure to MuleSoft or similar ESB platforms for enterprise-level data exchange.
• Data-driven optimization capabilities, leveraging Power BI to analyze conversation logs, identify drop-off points, and enhance NLU accuracy.
• Leadership experience in SDLC, including the establishment of CI/CD pipelines for bot deployment across various environments (Dev/Test/Prod).
• Exceptional communication, teamwork, and problem-solving abilities.
• Capability to work independently and juggle multiple projects simultaneously.
• A passion for innovation and a strong commitment to advancing the field of Conversational AI technology.
• Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 16 paid holidays (17 during general election years).
• Comprehensive Health Coverage: Access to health care, including medical with vision, dental, and prescription plans for individuals and families, effective from the 1st of the month following your hire date.
• Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance.
• Flexible Spending Accounts: Available for medical and dependent care expenses.
• Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).
• Supplemental Retirement Plans: Include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds.
• Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service.
Quantiphi
Get handpicked remote jobs straight to your inbox weekly.