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Generative Ai Chatbot Jobs (NOW HIRING)

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.

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior AI/ML Engineer

Herndon, VA · On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Senior AI/ML Engineer

Herndon, VA · On-site

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

AL/ML Technical Lead

Atlanta, GA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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

AL/ML Technical Lead

Atlanta, GA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

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

Chatbot platform migration to Google Conversational AI * Legacy rule-based bots to Generative AI-based virtual agents * Analyze existing conversation flows, intents, call-routing logic, and backend ...

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions. * Implement prompt engineering, RAG pipelines, model tuning, and ...

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions. * Implement prompt engineering, RAG pipelines, model tuning, and ...

AL/ML Technical Lead

Atlanta, GA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

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

Showing results 21-40

Generative Ai Chatbot information

See salary details

$54K

$103.1K

$190.5K

How much do generative ai chatbot jobs pay per year?

As of Aug 17, 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:

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 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $103,131 per year, or $49.6 per hour.

GenAI Lead / Senior AI Engineer

Lorven Technologies

Edison, NJ • On-site

Full-time

Re-posted 14 days ago


Job description

GenAI Lead / Senior AI Engineer
Location: Edison, NJ (Onsite)
Job Type: Full-Time
Salary: DOE

About the Opportunity
We are seeking a highly motivated GenAI Lead / Senior AI Engineer to join the growing AI team. This is a hands-on role focused on building next-generation AI-powered applications, conversational AI solutions, and agentic AI systems. The ideal candidate will possess strong technical expertise in Generative AI, AWS cloud architecture, and scalable backend development.
Key Responsibilities
  • Design, develop, and deploy AI-powered applications, including chatbots, voice AI solutions, and intelligent automation systems.
  • Lead the development and implementation of agentic AI workflows and autonomous AI systems.
  • Build scalable backend services, APIs, and microservices supporting AI applications.
  • Design and deploy cloud-native solutions on AWS.
  • Collaborate with product managers, engineers, and business stakeholders to deliver innovative AI solutions.
  • Optimize AI systems for performance, scalability, reliability, and security.
  • Stay current with emerging AI technologies and industry best practices.

Required Skills & Experience
Generative AI & Agentic AI
  • Strong understanding of Conversational AI and chatbot development.
  • Hands-on experience building Generative AI applications and agentic AI systems.
  • Experience developing multi-step AI workflows, tool integrations, and intelligent automation.
  • Familiarity with voice AI technologies (Speech-to-Text and Text-to-Speech).
  • Exposure to image generation and multimodal AI concepts.

Programming & Backend Development
  • Strong programming skills in Python or Node.js.
  • Experience building scalable APIs, backend services, and microservices.
  • Solid understanding of software engineering best practices and system design.

AWS & Cloud Architecture
  • Hands-on experience designing and deploying solutions on AWS.
  • Expertise with:
    • ECS / EKS
    • AWS Lambda
    • API Gateway
    • S3
    • DynamoDB
    • RDS
  • Experience designing scalable, secure, and cost-efficient cloud architectures.

Qualifications
  • 5-10 years of software engineering experience.
  • 2+ years of hands-on Generative AI experience.
  • Proven experience delivering production-grade AI applications.
  • Strong problem-solving, communication, and collaboration skills.
  • Ability to work independently and lead technical initiatives.

How to Apply
Interested candidates should submit:
  • Updated Resume
  • Brief summary highlighting relevant Generative AI and AWS experience
  • Examples of AI-powered applications, chatbots, automation systems, or agentic AI solutions developed

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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