Conversational AI Developer

Company Profile  

Our US-based client is a leading staffing and consulting organization providing strategic management 

consulting and technology solutions to Federal and Commercial clients. With extensive experience in 

solving complex business and technology challenges, the company delivers innovative, high-quality, and 

value-added services across business operations and information technology domains. 

The company specializes in delivering industry-leading solutions by combining deep domain expertise, 

best practices, and strong technical capabilities to support clients in achieving their business and digital 

transformation goals. 

Job Profile: Chatbot Developer– Conversational AI 

Location: Remote, India 

Employment Type: Full-Time 

Shift Timing: US Shift (ET) 

Preferred experience: 3+ years  

The Role  

We are seeking a talented and passionateConversational 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.  

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. 

Must - Have Qualifications:   

.Minimum 3 years of dedicated experience in software development with a specialized focus on 

Conversational AI, NLP/NLU, or LLM agent development. 

∙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. 

∙Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, 

combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card 

rendering. 

∙Direct experience working with MuleSoft layers to pull/push data from legacy enterprise 

platforms like PeopleSoft and CRM systems like Salesforce. 

Preferred Qualifications:  

∙Bachelor's Degree in Computer Science or related field 

∙Experience configuring and querying Azure Cosmos DB for storing conversation state, user 

context, and telemetry logs. 

∙Familiarity utilizing Power BI or Azure Application Insights to analyze drop-off points, intent 

confusion matrices, and chatbot containment metrics. 

∙Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, 

and Production environments. 

∙Experience implementing conversational solutions within Higher Education or complex,  

multi-stakeholder enterprise environments is a plus. 

∙Exceptional communication skills with the ability to articulate technical AI constraints to non-

technical business stakeholders. 

∙Must display a positive attitude & Ability to work remotely 

Application Method  

Apply on LinkedIn or email your resume to: [Confidential Information]