Chatbot Developer

Diverse Agile Solutions • Adelphi, MD

1d • $40 - $50 • Remote

About The Position

Diverse Agile Solutions is seeking a talented and passionate Conversational AI Developer to play a key role in managing existing chatbot implementations while designing and delivering next-generation conversational AI experiences. This position bridges traditional Natural Language Understanding (NLU) platforms with modern Generative AI and agent-based architectures. The ideal candidate will possess deep technical expertise within the Microsoft conversational ecosystem, strong enterprise integration experience, and a passion for creating intuitive, human-centered digital experiences. This individual will help drive the evolution of our conversational platforms from traditional chatbot frameworks toward advanced AI agent solutions leveraging Microsoft AI technologies.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field (or equivalent professional experience).
• Minimum 3 years of experience developing software applications with a focus on: Conversational AI, Chatbots, NLP/NLU systems, AI Assistants, Generative AI Solutions.
• Strong hands-on experience with: Azure Bot Framework SDK v4, Waterfall Dialogs, Middleware Development, Conversation State Management.
• Experience with or strong understanding of: Microsoft Copilot Studio, Azure AI Foundry, Agentic AI architectures.
• Advanced proficiency in: C#, .NET, JavaScript.
• Working knowledge of: HTML, CSS, REST APIs, JSON-based integrations.
• Experience integrating conversational solutions with enterprise systems through: MuleSoft, Salesforce APIs, PeopleSoft, Other enterprise application platforms.
• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills.
• Ability to work independently and collaboratively within Agile teams.
• Passion for innovation and emerging AI technologies.
• Strong customer-focused mindset and commitment to delivering exceptional user experiences.

Nice To Haves

• Experience with Azure Cosmos DB for conversation state management and telemetry storage.
• Familiarity with: Azure Application Insights, Power BI, Data visualization and chatbot analytics platforms.
• Experience implementing CI/CD pipelines for chatbot and AI deployments.
• Knowledge of: Azure DevOps, GitHub Actions, Automated Testing Frameworks.
• Experience building Retrieval-Augmented Generation (RAG) solutions.
• Understanding of AI governance, responsible AI principles, and prompt engineering best practices.
• Experience supporting Higher Education, Government, Healthcare, or other large enterprise environments.
• Microsoft Azure certifications are highly desirable.

Responsibilities

• Design, develop, test, deploy, and maintain enterprise-grade chatbots, virtual assistants, and AI-powered conversational agents.
• Manage the full development lifecycle, from requirements gathering and conversational design through production deployment and ongoing optimization.
• Build scalable and secure conversational solutions across web, mobile, and messaging platforms.
• Maintain and optimize existing Azure Bot Framework SDK v4 implementations.
• Contribute to architectural modernization initiatives involving Microsoft Copilot Studio, Azure AI Foundry, and agent-based frameworks.
• Evaluate emerging conversational AI technologies and recommend enhancements to existing platforms.
• Design and implement integrations between conversational interfaces and enterprise applications using MuleSoft APIs and integration services.
• Connect chatbot solutions with backend systems such as: PeopleSoft, Salesforce, Knowledge Management Platforms, Enterprise Databases and Services.
• Develop secure APIs and middleware services supporting conversational workflows.
• Create and manage dynamic conversational interfaces utilizing: Microsoft Adaptive Cards, Knowledge Base Integrations, Workflow Automation Tools, Web and Mobile Chat Interfaces.
• Deliver seamless user experiences across multiple communication channels.
• Implement intelligent escalation workflows from automated assistants to live support agents.
• Integrate conversational systems with Salesforce Live Chat and Salesforce Case Management solutions.
• Develop automated ticket creation, routing, and case management capabilities.
• Develop hybrid AI solutions leveraging: Azure Conversational Language Understanding (CLU), Azure OpenAI Services, GPT-based models, Retrieval-Augmented Generation (RAG) patterns.
• Design intent recognition, entity extraction, contextual memory, and fallback handling strategies.
• Optimize prompt engineering and AI orchestration workflows to improve response quality and user satisfaction.
• Monitor chatbot performance metrics including: Containment Rates, Intent Accuracy, User Satisfaction, Conversation Completion Rates, Escalation Metrics.
• Analyze conversation logs and user feedback to identify optimization opportunities.
• Implement improvements that enhance accuracy, reduce hallucinations, and improve overall user engagement.
• Collaborate closely with Product Owners, UX Designers, Business Analysts, Developers, and business stakeholders.
• Translate complex business requirements into effective conversational experiences.
• Communicate technical concepts and AI limitations clearly to both technical and non-technical audiences.

Benefits

• Work on transformative AI initiatives utilizing the latest advancements in Generative AI, Agentic AI, Microsoft Copilot technologies, and enterprise automation.
• Develop solutions that directly improve customer, employee, and stakeholder experiences while supporting high-volume business operations.
• Expand your expertise in: Generative AI, Large Language Models (LLMs), AI Agent Frameworks, Microsoft AI Technologies, Enterprise Cloud Solutions.
• Join a team of passionate professionals dedicated to innovation, continuous learning, and delivering exceptional results for our clients.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level