ZipRecruiter

Log In

1

Generative Ai Chatbot Jobs (NOW HIRING)

Node.Digital LLC

Senior AI/ML Engineer

Herndon, VA · On-site

$140 - $190/hr

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 ...

Node.Digital

Senior AI/ML Engineer

Herndon, VA · On-site +1

$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 ...

DataSync Inc

Google CCAI Developer

Charlotte, NC · On-site

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 ...

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

Addison Group

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

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

Brooksource

Junior Automation Engineer

Charlotte, NC · On-site

$32 - $34/hr

Exposure to AI platforms such as Claude, Google Gemini, or other generative AI chatbot solutions * Experience with automated testing of voice or chat applications * Basic understanding of AWS cloud ...

GM Financial

Conversation Designer II

Arlington, TX · Hybrid

From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech ... Experience in AI, chatbot/IVR strategy, conversation design, and optimization * Knowledge of ...

GM Financial

Conversation Designer II

Arlington, TX · On-site

From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech ... Own and continuously improve the overall chatbot/IVR design and user experience, using a variety of ...

SID Global Solutions

AI Lead Developer

Exton, PA · On-site

$57 - $74.50/hr

Key Responsibilities Design and develop enterprise-grade Agentic AI and Generative AI solutions ... What We're Looking For A senior AI engineering leader who can move beyond chatbot development and ...

previous page

Showing results 41-60

All JobsGenerative Ai Chatbot Jobs

Generative Ai Chatbot information

See salary details

$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.

Senior AI/ML Engineer

Node.Digital LLC

Herndon, VA • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

Senior AI/ML Engineer

Location: Herndon, VA (Hybrid Work)

Preferred: US Citizenship

Node.Digital is an innovative solutions development company that combines agile development services with next‑generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state‑of‑the‑art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.

Role: AI/ML Engineer

The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.

Required Skills
  • Overall experience of 6-10 Years working on Application/framework development
  • Min 5+ years of exp in AI/ML-based app/solution development with strong focus on generative AI applications
  • Hands‑on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK, Lambda, and other AI/ML services
  • Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fne‑tuning)
  • Hands‑on exp with OCR, ICR and OMR technologies is a must
  • Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
  • Good understanding of Document Processing, classifcation, data extraction is a must
  • Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
  • Hands‑on Web application/APIs Development experience is a must
  • Proficiency in asynchronous/multi‑threaded programming
  • Strong knowledge of algorithms, data structures, complexity, optimization, caching and security
  • Experience with JSON, SOAP, Rest, XML, XHTML, XSD and XSLT
  • Strong knowledge of object‑oriented concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
  • Experience with NoSQL databases and vector databases (for RAG implementations) is a plus
  • Knowledge of AWS cloud architecture patterns and serverless computing
  • Experience with CI/CD pipelines and DevSecOps practices
  • Knowledge of Agile methodologies is desirable
  • Experience working with a toolchain that includes TFS, SVN, Git
  • Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies
Responsibilities

Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post‑implementation. You will focus on building generative AI applications with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision‑making.

  • Designing and implementing generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
  • Building repeatable intelligent solutions/bots for document processing and data cleansing
  • Developing and deploying scalable ML/AI models on AWS infrastructure
  • Creating API endpoints and integrations for AI/ML services
  • Implementing model evaluation, monitoring, and continuous improvement processes
  • Collaborating with cross‑functional teams to embed AI capabilities across business functions
Nice to Have
  • Experience with front‑end frameworks (React, Angular, Vue.js) and modern web development
  • UiPath RPA Developer Certification and UiPath AI Center Experience
  • Knowledge of chatbot development and conversational AI
  • Experience with AWS Bedrock Agents and Guardrails
  • Familiarity with model distillation and prompt optimization techniques
  • Understanding of responsible AI practices and AI security
Recommended Certifications
  • AWS Certified Machine Learning – Specialty
  • AWS Certified Solutions Architect
  • General AI/ML Certifications (TensorFlow Developer, Azure AI Engineer)
  • UiPath AI Center Experience (nice to have)
Education/Year of Experience

Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and generative AI application development

Cultural Fit
  • Effective communication skills for technical discussions
  • Comfortable with Agile methodologies
  • Ability to work remotely
  • Alignment with customer's mission and values
  • Adaptability to varying organizational structures
  • Data Analysis and Data Architecture Skills
  • Strong problem‑solving abilities for complex AI/ML challenges
Benefits
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K Matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre‑Approved Online Training
#J-18808-Ljbffr

Apply