Chat Bot Developer/ Contract

Chatbot Developer Conversational AI/ Contract -1 Year

Role Overview

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We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in

managing current-day chatbot implementations 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.

Technical & Professional Qualifications

Required Experience

• 5+ 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.

• Core Backend Skills: 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.

• 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.

Benefits & Culture

• Cutting-Edge Innovation: Be part of a forward-thinking team actively reshaping the

digital student and staff experience through advanced AI and Agentic workflows.

• Impact-Driven Work: Build tools that directly solve user pain points, handling high-

volume transactions with immediate real-world impact.

• Professional Growth: Work in a fast-paced environment that actively supports upskilling

in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.