Chatbot Developer

Infojini Inc; Maryland; On-site; USD 90,000 - 130,000; Full time

Job summary

Infojini Inc in Maryland seeks a Conversational AI Developer to design, build, and optimize next-generation conversational experiences. You will bridge classic NLU with Generative AI, manage bot implementations, and drive migration toward autonomous agent frameworks, leveraging Azure Bot Framework SDK v4 and MuleSoft integrations.

The role emphasizes enterprise integration with PeopleSoft and Salesforce, omnichannel dialog management, and a data-driven approach to improving accuracy and user

Qualifications

• 3+ years of software development with a focus on Conversational AI, NLP/NLU, or LLM agent development.
• Deep hands-on experience with the Microsoft Bot Stack, including Azure Bot Framework SDK v4 and related tooling.
• Experience with MuleSoft integrations and enterprise CRM systems such as Salesforce.

Responsibilities

• Lead end-to-end development of scalable chatbots, virtual assistants, and AI agents.
• Maintain and migrate Azure Bot Framework v4 stack toward Foundry/Agents 365 architectures.
• Design robust API integrations using MuleSoft to connect front ends with PeopleSoft and Salesforce.
• Develop omnichannel dialog flows using Adaptive Cards, knowledge bases, and automation flows across web and mobile.
• Implement live chat escalation protocols and ticket routing via Salesforce APIs.
• Integrate Hybrid AI strategies combining classical NLU with Azure OpenAI for intent routing and content generation.
• Analyze logs and metrics to optimize containment, accuracy, and reduce hallucinations.
• Collaborate with product, UX, and business stakeholders to translate complex logic into user stories.

Job description

We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations and designing, building, and optimizing our next-generation conversational experiences. In this role, you will bridge the gap between classical NLU systems and modern Generative AI orchestrations. You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.

The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.

Key Responsibilities:

• End-to-End Development: Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
• Architecture Migration: Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
• Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
• Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
• Live Chat and Case Management: Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
• NLU and LLM Orchestration: Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
• Performance Optimization: Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
• Cross-Functional Collaboration: Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.

Required Experience

• 3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
• Microsoft Bot Stack Expertise: Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
• Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.

Preferred Qualifications

• Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
• Analytics Driven: Familiarity utilizing Power BI or Azure Application Insights to analyze drop‑off points, intent confusion matrices, and chatbot containment metrics.
• Modern DevOps: Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
• Industry Context: Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
• Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.