Conversational AI Chatbot Developer

Educology Solutions; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Innovation culture

Impactful work

Upskilling opportunities

Job summary

Educology Solutions is hiring a Chatbot Developer to design, build, and optimize enterprise-grade conversational AI experiences. You will bridge traditional NLU with Generative AI orchestrations, migrating toward autonomous agent frameworks while maintaining robust enterprise foundations.

You will drive end-to-end chatbot development, ensure seamless MuleSoft-based integrations with PeopleSoft and Salesforce, and craft omnichannel experiences across web, mobile, and messaging channels,

Qualifications

• 3+ years in software development focused on Conversational AI, NLP/NLU, or LLM agent development.
• Hands-on with Azure Bot Framework SDK v4 and related tooling.
• Strong backend skills in C#, .NET, and JavaScript; frontend skills (HTML/CSS).
• MuleSoft integrations with PeopleSoft and Salesforce.

Responsibilities

• End-to-End development of scalable chatbots, virtual assistants, and AI agents from design to production.
• Maintain and migrate architecture toward Foundry and Agents 365.
• Design robust API integrations using MuleSoft to connect frontends with core backend systems (PeopleSoft, Salesforce).
• Develop omnichannel dialogs using Adaptive Cards across web, mobile, and messaging channels.
• Build live chat escalation protocols and automate ticket routing via Salesforce Case Management APIs.
• Integrate Hybrid AI strategies by combining classic NLU with Azure OpenAI for intent routing and content generation.
• Analyze logs, containment rates, and accuracy metrics to optimize flows and reduce hallucinations.
• Collaborate with Product Managers, UX Designers, and stakeholders to translate complex logic into user stories.

Skills

Conversational AI

NLP/NLU

LLM agent development

Azure Bot Framework

Copilot Studio

Agents 365

C#

.NET

JavaScript

HTML/CSS

MuleSoft

Salesforce

PeopleSoft

Power BI

Azure Cosmos DB

Adaptive Cards

Azure OpenAI

Tools

MuleSoft

Salesforce

Azure Bot Framework SDK v4

Copilot Studio

Agents 365

Azure OpenAI

Power BI

Azure Cosmos DB

Adaptive Cards

Job description

Chatbot Developer – Conversational AI

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.

Key Responsibilities

• EndtoEnd 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.
• CrossFunctional 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

• 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, handson 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 webchat 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 dropoff 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, multistakeholder enterprise environments is a plus.
• Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to nontechnical business stakeholders.

Benefits & Culture

• CuttingEdge Innovation: Be part of a forwardthinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
• ImpactDriven Work: Build tools that directly solve user pain points, handling highvolume transactions with immediate realworld impact.
• Professional Growth: Work in a fastpaced environment that actively supports upskilling in Generative AI, LLM orchestration, and nextgeneration Microsoft AI technologies.