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Generative Ai Chatbot Jobs in Raleigh, NC (NOW HIRING)

... and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first ... Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated ...

... and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first ... Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated ...

... and generative models. What You'll Do and Impact: * Lead and mentor engineers in AI-first ... Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated ...

Generative Ai Chatbot information

See Raleigh, NC salary details

$52.5K

$100.3K

$185.2K

How much do generative ai chatbot jobs pay per year?

As of Aug 31, 2026, the average yearly pay for generative ai chatbot in Raleigh, NC is $100,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,300.00 and $116,600.00 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.

What are popular job titles related to Generative Ai Chatbot jobs in Raleigh, NC?

For Generative Ai Chatbot jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Generative Ai Chatbot jobs?

Cities near Raleigh, NC with the most Generative Ai Chatbot job openings:

AI Prompt Engineer - Raleigh, Nc

Motion Recruitment Partners, LLC

Raleigh, NC • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Job description


An enterprise cybersecurity group in Raleigh is seeking an AI Prompt Engineer to help expand an emerging security program centered around generative AI. The organization is evaluating advanced AI models from a security perspective and developing new ways to use generative models as part of automated security assessment, application testing, and vulnerability research.
This engineer will create sophisticated prompt-based testing workflows designed to make AI models perform targeted cyber analysis. Rather than focusing on basic chatbot prompting, the position involves developing reusable AI harnesses capable of providing the model with the proper context, instructions, and testing logic for activities including static and dynamic security testing, network exposure analysis, penetration-testing scenarios, port discovery, and certificate abuse detection.
Required Skills & Experience
  • Hands-on background designing sophisticated prompt strategies for generative AI
  • Practical cybersecurity knowledge, including attack surfaces, vulnerabilities, malicious behavior, and network traffic concepts
  • Software engineering or application development experience in languages such as Python, Go, C#, .NET, or similar
  • Ability to construct multi-step or context-rich LLM workflows rather than simple single prompts
  • Familiarity with one or more modern generative AI/model platforms
  • Experience storing, querying, or manipulating data using PostgreSQL, Elasticsearch, Cloud SQL, or related databases
  • Strong ability to explain previous AI projects, experimentation methods, and technical design decisions

Desired Skills & Experience
  • Exposure to application security and automated code-security testing
  • Background in offensive security, penetration testing, or vulnerability research
  • Familiarity with containerized or cloud-hosted applications
  • Experience with GKE or Kubernetes
  • Previous work evaluating the behavior or security of large language models
  • Experience operating in a research-oriented engineering environment

What You Will Be Doing
Daily Responsibilities
  • Engineer reusable prompt workflows that support AI-assisted security assessments
  • Create testing scenarios that push models to investigate applications, infrastructure, and potential attack surfaces
  • Develop prompting approaches for static and dynamic application-security analysis
  • Evaluate network, port, perimeter, and certificate-related security scenarios through GenAI workflows
  • Run experiments against different model providers and compare model behavior and effectiveness
  • Continuously adjust instructions, context, and harness logic based on testing results
  • Coordinate with data engineers so security output can be normalized, persisted, and analyzed downstream
  • Share actionable AI-discovered issues with threat-hunting and security-response teams

The Offer
  • Contract opportunity
  • Competitive hourly compensation

You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.