Staff Software Engineer
Durham, NC · On-site
... AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content ... generative models. Preferred : • Contributions to open-source AI projects or AI research. • ...
Staff Software Engineer
Durham, NC · On-site
... AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content ... generative models. Preferred : • Contributions to open-source AI projects or AI research. • ...
... 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 ...
Staff Software Engineer
Durham, NC · On-site
... 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 ...
Staff Software Engineer
Durham, NC · On-site
... 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 - $64.6K
2% of jobs
$75.2K is the 25th percentile. Wages below this are outliers.
$64.6K - $76.6K
26% of jobs
The median wage is $83K / yr.
$76.6K - $88.7K
42% of jobs
$88.7K - $100.7K
3% of jobs
$106K is the 75th percentile. Wages above this are outliers.
$100.7K - $112.8K
4% of jobs
$112.8K - $124.9K
8% of jobs
$124.9K - $136.9K
3% of jobs
$136.9K - $149K
4% of jobs
$149K - $161.1K
4% of jobs
$161.1K - $173.1K
0% of jobs
$173.1K - $185.2K
3% of jobs
$52.5K
$100.3K
$185.2K
How much do generative ai chatbot jobs pay per year?
As of Jul 30, 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 the difference between Generative Ai Chatbot vs Data Scientist?
| Aspect | Generative Ai Chatbot | Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, AI/ML knowledge | Degree in Data Science, Statistics, or related field |
| Work Environment | Tech companies, customer service platforms | Research labs, corporate analytics teams |
| Industry Usage | Automated customer interactions, content generation | Data analysis, predictive modeling, insights |
| Search & Comparison Intent | Understanding AI chatbot capabilities | Data 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 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 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 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 job categories do people searching Generative Ai Chatbot jobs in Raleigh, NC look for? The top searched job categories for Generative Ai Chatbot jobs in Raleigh, NC 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:
Job description
Job Summary:
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them. In the Senior Software Engineer position, you’ll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools and machine learning models.
Responsibilities:
• Lead and mentor engineers in AI-first development methodologies and best practices.
• Architect and scale AI-enhanced systems, ensuring security, scalability, and high performance.
• Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products.
• Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency.
• Implement observability and monitoring systems to track AI application performance and ensure proactive issue resolution.
• Design and optimize AI-driven APIs and microservices for seamless interaction with models, applications, and databases.
• Stay engaged with AI and engineering communities, bringing cutting-edge practices and insights back to the team.
• Mentor engineers on technical execution, business impact, and AI-first strategic thinking.
• Balance execution speed with innovation, rapidly testing and iterating AI-driven features.
• Work in an agile environment, ensuring high-quality, scalable software solutions.
Qualifications:
Required:
• 5-7+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic).
• Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications.
• Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.
• Experience integrating LLMs, agentic workflows, and autonomous AI systems into production environments.
• Proven ability to mentor engineers and lead AI-first engineering transformations.
• Ability to mentor and lead engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
• Technical expertise in AI integration across natural language processing, computer vision, and generative models.
Preferred:
• Contributions to open-source AI projects or AI research.
• Experience with agentic AI frameworks (LangChain, AutoGPT).
• Thought leadership through conferences, research, or industry engagement in AI-first development.
• Expertise in AI-powered UI/UX development and human-computer interaction.
• Strong proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments.
• Diligence in unit testing, integration testing, and AI-driven problem-solving.
Company:
The Direct Supply family of companies cares for every critical area of Senior Living, providing everything from equipment and eCommerce to Founded in 1985, the company is headquartered in Milwaukee, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them. In the Senior Software Engineer position, you’ll lead the development of intelligent, adaptive, and scalable applications by leveraging AI-powered development tools and machine learning models.
Responsibilities:
• Lead and mentor engineers in AI-first development methodologies and best practices.
• Architect and scale AI-enhanced systems, ensuring security, scalability, and high performance.
• Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products.
• Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency.
• Implement observability and monitoring systems to track AI application performance and ensure proactive issue resolution.
• Design and optimize AI-driven APIs and microservices for seamless interaction with models, applications, and databases.
• Stay engaged with AI and engineering communities, bringing cutting-edge practices and insights back to the team.
• Mentor engineers on technical execution, business impact, and AI-first strategic thinking.
• Balance execution speed with innovation, rapidly testing and iterating AI-driven features.
• Work in an agile environment, ensuring high-quality, scalable software solutions.
Qualifications:
Required:
• 5-7+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic).
• Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications.
• Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.
• Experience integrating LLMs, agentic workflows, and autonomous AI systems into production environments.
• Proven ability to mentor engineers and lead AI-first engineering transformations.
• Ability to mentor and lead engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.
• Technical expertise in AI integration across natural language processing, computer vision, and generative models.
Preferred:
• Contributions to open-source AI projects or AI research.
• Experience with agentic AI frameworks (LangChain, AutoGPT).
• Thought leadership through conferences, research, or industry engagement in AI-first development.
• Expertise in AI-powered UI/UX development and human-computer interaction.
• Strong proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments.
• Diligence in unit testing, integration testing, and AI-driven problem-solving.
Company:
The Direct Supply family of companies cares for every critical area of Senior Living, providing everything from equipment and eCommerce to Founded in 1985, the company is headquartered in Milwaukee, USA, with a team of 1001-5000 employees. The company is currently Late Stage.