Chatbot Developer – Conversational AI
Business Technology Integrators24 hours ago
Remote, United StatesMid Level
Responsibilities
- Develop and deploy chatbots, virtual assistants, and AI agents across the full lifecycle.
- Maintain the Azure Bot Framework SDK v4 stack and support migration to Microsoft Foundry and Agents 365 Azure SDK.
- Build MuleSoft-based integrations with PeopleSoft, Salesforce, and other enterprise backend systems.
- Create omnichannel conversational interfaces using Adaptive Cards, knowledge management systems, and automation flows.
- Implement live-agent handoffs through Salesforce Live Chat and automated routing through Salesforce Case Management APIs.
- Combine Azure Conversational Language Understanding with Azure OpenAI/GPT for intent routing, fallback handling, and contextual content generation.
- Analyze conversation logs, containment rates, and intent accuracy to optimize conversational flows and reduce hallucinations.
- Collaborate with product managers, UX designers, and business stakeholders to translate business logic into user experiences.
Requirements
- At least 3 years of dedicated software development experience focused on Conversational AI, NLP/NLU, or LLM agent development.
- Hands-on proficiency with Azure Bot Framework SDK v4, including Waterfall Dialogs, custom middleware, and state management.
- Experience or strong theoretical knowledge of Copilot Studio or Agents 365.
- Advanced proficiency in C#, .NET, and JavaScript, plus HTML/CSS experience for web-chat styling and Adaptive Card rendering.
- Direct experience with MuleSoft and integrations involving PeopleSoft and Salesforce.
- Must live in the United States.
- Preferred experience with Azure Cosmos DB for conversation state, user context, and telemetry.
- Preferred familiarity with Power BI or Azure Application Insights for chatbot analytics.
- Preferred experience maintaining CI/CD pipelines across development, test, and production environments.
- Experience in higher education or complex, multi-stakeholder enterprise environments is a plus.
- Strong communication skills for explaining technical AI constraints to non-technical stakeholders.
Benefits
- Remote work is available for candidates living in the United States.
- Opportunity to work on advanced AI, agentic workflows, and high-impact digital experiences.
- Professional growth and upskilling support in generative AI, LLM orchestration, and Microsoft AI technologies.
- Work on tools that address real user pain points and support high-volume transactions.
Tech Stack
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