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Generative Ai Chatbot Jobs (NOW HIRING)

SmartIPlace

AI Chatbot Developer[Remote]

Columbus, OH · Remote

Product Specialist 5 / PS 5 (AI Chatbot Developer) Location: 77S High St Ste B1, Columbus, OH 43215 ... This role includes developing traditional and generative AI solutions using platforms such as ...

VeridianTech

AI Architect

Jersey City, NJ · On-site

$65.75 - $86.75/hr

Key Responsibilities Lead the strategy, architecture, and technical design of enterprise AI, Generative AI, and Agentic AI solutions. Architect sophisticated conversational AI/chatbot platforms ...

New

Apex Systems

Generative AI Engineer

Newark, DE · On-site

Job#: 3046301 Generative AI Engineer Location: Newark, DE (Hybrid) Employment Type: Contract ... Leverage LLMs, prompt engineering, and ChatBot technologies. * Work with machine learning ...

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Generative Ai Chatbot information

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$54K

$103.1K

$190.5K

How much do generative ai chatbot jobs pay per year?

As of Sep 6, 2026, the average yearly pay for generative ai chatbot in the United States is $103,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a generative AI chatbot?

A Generative AI Chatbot is an artificial intelligence system designed to engage in human-like conversations by generating responses to user inputs in real time. Unlike traditional rule-based chatbots that rely on predefined scripts, generative AI chatbots use advanced machine learning models—often based on large language models—to understand context and produce original, relevant responses. These chatbots can be used in customer service, education, entertainment, and more, offering personalized and dynamic interactions. They continue to improve as they process more data and user interactions.

What are some common challenges faced by professionals working on generative AI chatbot development, and how can they be addressed?

Professionals developing generative AI chatbots often encounter challenges such as managing ambiguous user inputs, ensuring conversational relevance, and maintaining ethical standards like avoiding biased or inappropriate responses. Collaboration with interdisciplinary teams—including data scientists, linguists, and UX designers—is vital to continuously improve the chatbot's performance. Regular testing, user feedback, and fine-tuning of language models are essential practices to address these challenges and enhance the chatbot's ability to handle diverse real-world conversations.

What are the key skills and qualifications needed to thrive as a generative AI chatbot developer, and why are they important?

To thrive as a Generative AI Chatbot Developer, you need strong programming expertise (especially in Python), a solid understanding of machine learning and natural language processing (NLP), and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with APIs, and knowledge of cloud platforms such as AWS or Azure are commonly required, along with relevant AI or ML certifications. Creativity, problem-solving, and effective communication are vital soft skills for designing engaging, user-friendly conversational experiences and collaborating with cross-functional teams. These skills are crucial for building reliable, scalable, and innovative AI chatbots that meet user needs and business objectives.

What is the difference between Generative Ai Chatbot vs Data Scientist?

AspectGenerative Ai ChatbotData Scientist
Required CredentialsBasic programming, AI/ML knowledgeDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, customer service platformsResearch labs, corporate analytics teams
Industry UsageAutomated customer interactions, content generationData analysis, predictive modeling, insights
Search & Comparison IntentUnderstanding AI chatbot capabilitiesData analysis skills and roles

Generative Ai Chatbots focus on creating conversational AI for customer engagement, requiring programming and AI knowledge. Data Scientists analyze data to generate insights, often with advanced degrees. While both work in tech environments, their roles differ in purpose and skill set.

More about Generative Ai Chatbot jobs

What cities are hiring for Generative Ai Chatbot jobs?

Cities with the most Generative Ai Chatbot job openings:

What states have the most Generative Ai Chatbot jobs?

States with the most job openings for Generative Ai Chatbot jobs include:

What job categories do people searching Generative Ai Chatbot jobs look for?

The top searched job categories for Generative Ai Chatbot jobs are:

Generative Ai Chatbot jobs near you
Infographic showing various Generative Ai Chatbot job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $103,131 per year, or $49.6 per hour.

Conversational AI/ Chatbot Developer

Diverse Agile Solutions, LLC (DAS)

Adelphi, MD • Remote

$52.25 - $72.25/hr

Full-time

Posted 6 days ago

Job description

Conversational AI / Chatbot Developer

Diverse Agile Solutions, LLC (DAS) is seeking an experienced Conversational AI / Chatbot Developer to support an enterprise client and help design, develop, integrate, and optimize next-generation conversational AI experiences.

This is an exciting opportunity for a developer who enjoys working at the intersection of traditional conversational AI, Generative AI, and autonomous AI agents. The ideal candidate will have strong Microsoft Azure conversational technology experience and be comfortable integrating AI solutions with enterprise platforms such as Salesforce and PeopleSoft.

What You'll Do
  • Design, develop, test, deploy, and maintain enterprise chatbots, virtual assistants, and AI agents.
  • Develop and maintain conversational applications using Azure Bot Framework SDK v4.
  • Build conversational workflows using Waterfall Dialogs, custom middleware, and state management.
  • Help modernize existing chatbot capabilities using Azure AI Foundry, Microsoft Copilot Studio, and Microsoft Agents 365 / Microsoft 365 Agents SDK technologies.
  • Integrate conversational applications with enterprise systems using MuleSoft, REST APIs, Salesforce, and PeopleSoft.
  • Develop Salesforce Live Chat and Case Management integrations for human-agent escalation and automated case routing.
  • Build rich conversational experiences using Adaptive Cards across web, mobile, and messaging channels.
  • Integrate Azure Conversational Language Understanding (CLU) with Azure OpenAI/GPT to support intent recognition, routing, fallback handling, and contextual responses.
  • Develop and optimize RAG and LLM-based solutions.
  • Monitor conversation logs, intent accuracy, containment rates, and other performance metrics to continuously improve the user experience.
  • Use tools such as Azure Application Insights and Power BI to analyze conversational performance.
  • Work with Product Managers, UX Designers, developers, and business stakeholders to translate business requirements into effective conversational experiences.
  • Participate in Agile development, testing, code reviews, and CI/CD activities.
Required Qualifications
  • 3+ years of software development experience with a focus on Conversational AI, NLP/NLU, chatbots, or LLM/AI agent development.
  • Hands-on experience with Azure Bot Framework SDK v4.
  • Experience with Waterfall Dialogs, custom middleware, and conversation state management.
  • Strong programming experience with C# and .NET.
  • Experience with JavaScript, HTML, and CSS.
  • Experience with Azure OpenAI and/or Generative AI technologies.
  • Experience with Azure CLU or other NLU technologies.
  • Experience integrating enterprise applications through REST APIs and/or MuleSoft.
  • Experience with Salesforce and/or PeopleSoft integrations.
  • Strong understanding of conversational design, APIs, enterprise integration, and cloud-based application development.
  • Excellent communication skills and ability to work effectively with technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with Azure AI Foundry.
  • Experience with Microsoft Copilot Studio.
  • Experience with Microsoft Agents 365 / Microsoft 365 Agents SDK.
  • Experience developing Adaptive Cards.
  • Salesforce Live Chat and Case Management integration experience.
  • Experience with Azure Cosmos DB for conversation state and user context.
  • Experience with Azure Application Insights and Power BI.
  • Experience developing RAG/LLM orchestration solutions.
  • Experience building or maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
  • Experience working in higher education or other complex enterprise environments.
  • Experience with agentic AI and autonomous AI architectures.
Why Join DAS?

At Diverse Agile Solutions, you'll work on challenging technology initiatives involving Artificial Intelligence, Cloud, DevSecOps, Cybersecurity, Agile Transformation, and Enterprise IT modernization.

We are a growing technology services company that values technical excellence, collaboration, accountability, and professional growth.

Position Details

Position: Conversational AI / Chatbot Developer
Company: Diverse Agile Solutions, LLC
Employment Type: Contract
Work Arrangement: [Remote potential depending on candidate]
Location: Adelphi, MD
Duration: Initially 6 month with possible extension
Compensation: $85,000 - $90,000

How to Apply

If you're an experienced Conversational AI developer who is excited about combining Azure, Generative AI, enterprise integrations, and next-generation AI agents, we'd like to hear from you.


Apply