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Generative Ai Chatbot Jobs (NOW HIRING)

OVA.Work

Conversational AI Developer

... models, and Generative AI technologies. • Implement Retrieval-Augmented Generation (RAG ... support chatbot functionality and backend integrations. • Evaluate and improve chatbot ...

Globe Life

Sr. Data and AI Architect (Hybrid)

Mckinney, TX · On-site

$62.50 - $83.50/hr

Provide thought leadership on generative AI, agentic AI, and emerging AI protocol trends (e.g., MCP ... Chatbot. * Partner with portfolio leaders to understand analytical and AI requirements into ...

Globelife

Sr. Data and AI Architect (Hybrid)

Mckinney, TX · Hybrid

$62.50 - $83.50/hr

Provide thought leadership on generative AI, agentic AI, and emerging AI protocol trends (e.g., MCP ... Chatbot. * Partner with portfolio leaders to understand analytical and AI requirements into ...

Booz Allen Hamilton

AL/ML Technical Lead

Atlanta, GA · On-site

$128.70 - $292/hr

You will lead the design and implementation of scalable machine learning and generative AI ... Experience with conversational AI, chatbot systems, or full‑stack AI application development.

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

Booz Allen Hamilton

AL/ML Technical Lead

Atlanta, GA · On-site

Architect generative AI solutions, including AI agents, MCP-enabled workflows, Prompt Buddy ... Experience with conversational AI, chatbot systems, or full-stack AI application development

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering ... chatbot development and conversational AI Experience with AWS Bedrock Agents and Guardrails ...

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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?

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What states have the most Generative Ai Chatbot jobs?

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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 Developer

OVA.Work

Remote

Full-time

Re-posted 12 hours ago

Job description

Job Summary:
OVA.Work is seeking a Conversational AI Developer to design, develop, and deploy intelligent conversational applications such as chatbots and virtual assistants. The role involves collaborating with various teams to create scalable conversational experiences across multiple platforms.
Responsibilities:
• Design, develop, and maintain conversational AI applications for chat and voice interactions.
• Build dialogue flows, conversation logic, and multi-turn interactions for virtual assistants and chatbots.
• Develop and integrate solutions using LLMs, NLP models, and Generative AI technologies.
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
• Create and optimize prompts, system instructions, and orchestration workflows to improve response quality and user experience.
• Integrate conversational AI solutions with enterprise applications, APIs, databases, and third-party services.
• Build RESTful APIs and microservices to support chatbot functionality and backend integrations.
• Evaluate and improve chatbot performance using conversation analytics, user feedback, and AI evaluation metrics.
• Implement guardrails, content moderation, authentication, and security best practices for conversational AI applications.
• Collaborate with UX designers to improve conversation design, user engagement, and accessibility.
• Deploy, monitor, and maintain conversational AI applications using cloud and MLOps practices.
• Troubleshoot production issues and continuously optimize model performance and user satisfaction.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
• 3+ years of experience in conversational AI, chatbot development, NLP, or AI application development.
• Strong programming skills in Python; experience with JavaScript or TypeScript is a plus.
• Experience with NLP concepts such as intent recognition, entity extraction, text classification, and dialogue management.
• Experience working with Large Language Models (LLMs) and prompt engineering.
• Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
• Experience building RESTful APIs using FastAPI, Flask, or similar frameworks.
• Familiarity with relational and NoSQL databases.
• Experience with Git, Docker, and cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Preferred:
• Experience with conversational AI platforms such as Microsoft Copilot Studio, Azure AI Foundry, Google Dialogflow CX, Amazon Lex, IBM watsonx Assistant, or Kore.ai.
• Experience implementing Retrieval-Augmented Generation (RAG) using vector databases such as Pinecone, Milvus, Weaviate, Chroma, or Azure AI Search.
• Familiarity with model serving, API gateways, and AI deployment practices.
• Experience integrating speech recognition (ASR) and text-to-speech (TTS) technologies for voice assistants.
• Knowledge of AI agent frameworks, function calling, tool integration, and workflow orchestration.
• Experience implementing AI safety, governance, evaluation, and observability practices.
• Familiarity with CI/CD, Kubernetes, and MLOps concepts.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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