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Chat Bot Developer Jobs in Washington, DC (NOW HIRING)

Robert Half

GenAI CCaaS Engineer

Washington, DC · On-site

$50 - $54/hr

Opening for an early career GenAI Application Developer to build and enhance AI-powered ... Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and ...

Pwc

US Tech - AI Engineering Manager

Washington, DC · On-site

$73K - $244K/yr

... Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line) - Leading platform engineering teams ...

All JobsChat Bot Developer JobsChat Bot Developer Jobs in Washington, DC

Chat Bot Developer information

See Washington, DC salary details

$17

$64

$87

How much do chat bot developer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for chat bot developer in Washington, DC is $64.22, according to ZipRecruiter salary data. Most workers in this role earn between $55.53 and $71.88 per hour, depending on experience, location, and employer.

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.

How much do chatbot developers make?

Chatbot developers typically earn between $70,000 and $120,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced developers with skills in AI, natural language processing, and programming languages like Python or JavaScript can earn higher salaries.

How to become a chatbot developer?

A chatbot developer typically needs a background in programming languages such as Python, JavaScript, or Java, along with knowledge of natural language processing (NLP) tools and frameworks like Dialogflow or Microsoft Bot Framework. Gaining experience through coding projects, understanding AI concepts, and obtaining relevant certifications can enhance job prospects. Strong problem-solving skills and the ability to design conversational interfaces are also important.

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 a chatbot developer?

A chatbot developer is a professional who designs, builds, and maintains chatbots, which are AI-powered programs that simulate human conversation. They typically use programming languages, natural language processing tools, and platforms like Dialogflow or Microsoft Bot Framework to create interactive and automated communication systems.

Is chatbot developer a good career?

A chatbot developer is a role focused on designing and building conversational AI systems using programming languages, natural language processing, and machine learning tools. It is a growing field with increasing demand across industries such as customer service, healthcare, and finance. Success in this career often requires strong technical skills, continuous learning, and familiarity with platforms like Dialogflow or Microsoft Bot Framework.

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.

What are popular job titles related to Chat Bot Developer jobs in Washington, DC? For Chat Bot Developer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Chat Bot Developer jobs in Washington, DC look for? The top searched job categories for Chat Bot Developer jobs in Washington, DC are:
Chat Bot Developer jobs near you
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 11 days ago

Job description

Role: Chatbot Developer - Conversational AI

Location: Remote (US) EST hours

Duration: 3 months

  

Role Overview
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.
 
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
  • 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.
 
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.