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Chatgpt Integration Testing Jobs in Utah (NOW HIRING)

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

Lead the end-to-end development, testing, and deployment of AI and ML models * Architect and maintain scalable data pipelines using Python, SQL, and AWS services * Integrate and fine-tune ChatGPT and ...

beatBread

AI Engineer

Saint George, UT · On-site

Lead the end-to-end development, testing, and deployment of AI and ML models * Architect and maintain scalable data pipelines using Python, SQL, and AWS services * Integrate and fine-tune ChatGPT and ...

Bridge Investment Group

Data Engineer

Sandy, UT · On-site

$108K - $130K/yr

They are seeking a Data Engineer to work across the full data lifecycle, integrating and ... reviews, testing, and validation to ensure data accuracy • Manage development work, track ...

BambooHR

Software Engineer II, Frontend

Draper, UT · On-site

Integrate AI into your daily tasks using IDEs (or plugins) such as Github Copilot and Windsurf ... Leverage ChatGPT to streamline your workload by brainstorming and refining ideas, and planning ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Implement data validation and testing (e.g., data quality checks, unit/integration tests) to ensure ... Comfortable leveraging AI-assisted development tools (e.g., Claude, Codex, ChatGPT, Grok, etc.) to ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

Implement data validation and testing (e.g., data quality checks, unit/integration tests) to ensure ... Comfortable leveraging AI-assisted development tools (e.g., Claude, Codex, ChatGPT, Grok, etc.) to ...

Bridge Investment Group

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Implement automation and integration solutions using Python, APIs, or cloud services * Collaborate ... Perform code reviews, testing, and validation to ensure data accuracy * Manage development work ...

Bridge Investment Group

Data Engineer

Sandy, UT · On-site

$108K - $130K/yr

Implement automation and integration solutions using Python, APIs, or cloud services * Collaborate ... Perform code reviews, testing, and validation to ensure data accuracy * Manage development work ...

All JobsChatgpt Integration Testing JobsChatgpt Integration Testing Jobs in Utah

Chatgpt Integration Testing information

What are the key skills and qualifications needed to thrive as a ChatGPT Integration Testing Specialist, and why are they important?

To excel in ChatGPT Integration Testing, a strong grasp of software testing methodologies, API usage, and familiarity with conversational AI concepts is essential, usually backed by a degree in computer science or a related field. Proficiency with tools such as Postman, automated testing frameworks (like Selenium), and version control systems (such as Git) is typically required. Attention to detail, problem-solving ability, and effective communication are vital soft skills for identifying issues and collaborating with cross-functional teams. These competencies ensure robust, reliable chatbot integrations that meet user expectations and function seamlessly within diverse applications.

What is the difference between Chatgpt Integration Testing vs Chatbot Developer?

AspectChatgpt Integration TestingChatbot Developer
Primary FocusVerifying integration of ChatGPT with systems and APIsDesigning, building, and programming chatbots
Skills RequiredAPI testing, debugging, understanding of AI modelsProgramming, NLP, UI/UX design
Work EnvironmentTesting labs, development environments, collaboration with developersDevelopment teams, client-facing projects, coding environments
CertificationsTesting certifications, AI/ML knowledgeProgramming certifications, NLP courses

Chatgpt Integration Testing primarily focuses on verifying the seamless integration of ChatGPT into existing systems, ensuring APIs and AI components work correctly. In contrast, a Chatbot Developer designs and develops chatbots, including coding and user experience. Both roles require technical skills but differ in their core responsibilities and focus areas.

What are some common challenges faced during ChatGPT integration testing, and how can I prepare for them?

One common challenge in ChatGPT integration testing is ensuring seamless communication between the AI model and existing software systems, which often involves handling different data formats and managing API limitations. Testers must also account for edge cases and unexpected user inputs that can cause the chatbot to respond inaccurately or fail. To prepare, familiarize yourself with both the technical integration points and typical user scenarios, and collaborate closely with developers and product managers to understand system requirements and test coverage expectations.

What is ChatGPT integration testing?

ChatGPT integration testing is the process of evaluating how the ChatGPT language model interacts with other software systems, applications, or components within a larger technology environment. It involves testing scenarios where ChatGPT is embedded into products such as websites, chatbots, or customer service platforms to ensure smooth communication, correct data handling, and reliable functionality. The goal is to identify and resolve any issues that arise from the integration, such as data flow errors, security vulnerabilities, or unexpected behaviors. This ensures that users have a seamless and effective experience when interacting with ChatGPT-powered features.
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Chatgpt Integration Testing jobs near you
Front end Angular Developer

Front end Angular Developer

Photon

Salt Lake City, UT

$100K - $117K/yr

Other

Posted 5 days ago

Job description

The Frontend Developer will play a key role in building intuitive, scalable, and high-performance user interfaces for modern web applications. This role requires a strong foundation in frontend technologies along with the ability to collaborate closely with product managers, designers, and backend teams to deliver seamless user experiences.

You will be responsible for developing and maintaining responsive, accessible, and user-friendly applications while leveraging modern frameworks and tools. The role also involves working with AI-assisted development tools to improve productivity, generate code, and streamline development workflows.

The ideal candidate is passionate about clean UI/UX, performance optimization, and building reusable components while ensuring consistency across applications.

Key Responsibilities:

UI Development: Develop responsive, scalable, and high-quality user interfaces using modern frontend frameworks

Application Modernization: Contribute to both greenfield development and enhancement of existing (legacy) frontend applications

Code Quality & Best Practices: Follow coding standards, perform code reviews, and maintain clean, testable, and efficient code

AI-Assisted Development: Leverage tools like GitHub Copilot, ChatGPT, or similar to accelerate development, code generation, and documentation

LLM Interaction: Effectively prompt and refine LLM outputs for coding tasks, debugging, refactoring, and improving productivity

Required Skills & Qualifications:

  • 3 5 years of experience in frontend development with strong understanding of modern web technologies
  • Proficiency in TypeScript, JavaScript, HTML, and CSS
  • Hands-on experience with modern frontend frameworks(Angular).
  • Experience working with design systems and building consistent UI components across applications
  • Familiarity with AI-powered development tools (GitHub Copilot, ChatGPT) and ability to integrate them into workflows
  • Strong understanding of LLM prompting techniques for code generation, refactoring, and documentation
  • Experience in building responsive and accessible applications
  • Familiarity with state management, API integration, and frontend architecture patterns
  • Strong understanding of cross-browser compatibility and performance optimization techniques
  • Experience working in collaborative environments with designers, product managers, and accessibility teams
  • Proficiency in version control systems (Git) and development workflows
  • Understanding of testing frameworks and debugging techniques

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