Mulesoft 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 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.
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: careers@speedmart.co.in

Work arrangement
Yes