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Chat Bot Developer Jobs in Maryland (NOW HIRING)

Chat Bot Developer information

What are some common challenges Chat Bot Developers face when integrating chatbots with existing business systems?

Chat Bot Developers often encounter challenges when integrating chatbots with existing business systems such as CRMs, databases, or legacy platforms. These challenges can include handling data privacy and security, ensuring seamless data flow between systems, and managing differences in technology stacks or APIs. Successful integration usually requires strong problem-solving skills, familiarity with various integration tools, and close collaboration with IT or backend teams. Addressing these challenges effectively can lead to more robust, scalable, and user-friendly chatbot solutions.

What is a Chat Bot Developer?

A Chat Bot Developer is a software professional who designs, builds, and maintains conversational bots for messaging platforms, websites, or apps. Their work involves programming the bot to understand user input, process language, and provide meaningful responses or perform actions. Chat Bot Developers often use artificial intelligence, natural language processing, and various APIs to create bots that can automate tasks, assist customers, or enhance user engagement. They collaborate with designers, data scientists, and other developers to improve the bot's accuracy and usability over time.

What are the key skills and qualifications needed to thrive as a Chat Bot Developer, and why are they important?

To thrive as a Chat Bot Developer, you need strong programming skills (typically in Python, JavaScript, or Java), a solid understanding of natural language processing (NLP), and experience with AI frameworks, often supported by a degree in computer science or a related field. Familiarity with platforms like Dialogflow, Microsoft Bot Framework, Rasa, and cloud services such as AWS or Azure, as well as relevant certifications, is highly valuable. Creative problem-solving, effective communication, and the ability to collaborate with cross-functional teams help developers create engaging and user-friendly conversational experiences. These skills and qualities are crucial for building intelligent, scalable, and effective chatbots that meet user and business needs.

What is the difference between Chat Bot Developer vs AI Developer?

AspectChat Bot DeveloperAI Developer
Required CredentialsBachelor's in CS, programming skills, chatbot platformsBachelor's/Master's in CS, machine learning, AI frameworks
Work EnvironmentTech companies, customer service, e-commerceResearch labs, tech firms, industries applying AI solutions
Employer & Industry UsageCustomer support, marketing, salesData analysis, automation, advanced AI systems
Search & Comparison IntentFocus on chatbot creation and deploymentBroader AI development and research

While both roles involve programming and AI concepts, a Chat Bot Developer specializes in creating conversational agents for customer interaction, whereas an AI Developer works on broader artificial intelligence applications, including machine learning and data analysis. The choice depends on whether you want to focus on chatbot-specific projects or broader AI solutions.

Infographic showing various Chat Bot Developer job openings in Maryland as of June 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

CMT Services, Inc.

Adelphi, MD • Remote

Contractor

Posted 10 days ago


Job description

ABOUT US:

CMT Services Inc. is a dynamic and small business supporting Federal, State, and Local government agencies. As an SBA-certified HUBZone, Woman Owned Small Business (WOSB), we deliver quality, professional services to supportthe missions and strategic business goals of our clients.

PositionTitle: Chatbot Developer - Conversational AI

Location:

University of Maryland Global Campus

3501 University Blvd. East, Adelphi, MD 20783


Period of Performance:

3 months

40 hours per week (no overtime).

Work Environment:

Remote - within the United States (this means we expect the resource is remote and located in the US and working ET hours)


Position Summary: We are seeking a talented and passionate Chatbot Developer - Conversational AI 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 Qualifications

  • 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.
  • 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.


Join Our Team:

AtCMT Services, we believe that extraordinary results come from empowering exceptional people. If you're ready to lead innovative projects, solve complex challenges, and contribute to meaningful infrastructure development while advancing your career in a supportive, collaborative environment, we want to hear from you.

Disclaimer:

By submitting your resume for this job posting, you authorize CMT Services, Inc. to forward your resume to all applicable internal and external managers, agencies, and recruitment personnel for review and consideration to hire.