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Chatgpt Integration Testing Jobs in Dallas, TX (NOW HIRING)

Upbound Group, Inc.

Engineering Tech Lead

Plano, TX · On-site

Work across teams and vendors to ensure smooth integration and delivery AI & Engineering Efficiency ... Look for opportunities to improve delivery speed through automation (testing, documentation, etc.

Prolim Global

AI Engineer - EAI

Plano, TX · On-site

... and testing GenAI workflows and agentic systems, benchmarking models and frameworks, and ... such as ChatGPT, GitHub Copilot, LangChain, LangSmith, CrewAI, vector DBs, RAG frameworks ...

Koddi

Media Lead

Fort Worth, TX · On-site

Identify and implement AI-driven processes to improve testing, creative iteration, and performance ... Comfort integrating AI into day-to-day work and proactively exploring ways it can improve ...

Deloitte

Finance Analytics & AI Senior Consultant

Dallas, TX · On-site

$115K/yr

Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder ... ChatGPT, Claude, or Gemini * Experience working with finance data and use cases related to planning ...

Deloitte

Finance Analytics & AI Senior Consultant

Dallas, TX · On-site

$115K/yr

Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder ... ChatGPT, Claude, or Gemini * Experience working with finance data and use cases related to planning ...

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How much do chatgpt integration testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for chatgpt integration testing in Dallas, TX is $29.52, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $36.15 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed for ChatGPT integration testing?

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 are 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 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 popular job titles related to Chatgpt Integration Testing jobs in Dallas, TX?

For Chatgpt Integration Testing jobs in Dallas, TX, the most frequently searched job titles are:

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The top searched job categories for Chatgpt Integration Testing jobs in Dallas, TX are:

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Cities near Dallas, TX with the most Chatgpt Integration Testing job openings:

Chatgpt Integration Testing jobs near you

Engineering Tech Lead

Upbound Group, Inc.

Plano, TX • On-site

Full-time

Re-posted 13 days ago

Job description

Job Description:
Engineering Tech Lead
About Upbound
Upbound Group (NASDAQ: UPBD) is a technology-driven platform company focused on expanding financial opportunity through innovative and inclusive solutions. Our brands-Rent-A-Center, Acima, and Brigit-serve customers across both digital and retail channels, with over 2,400 locations across the U.S., Mexico, and Puerto Rico. We're headquartered in Plano, TX.
About the Role
We're looking for an Engineering Tech Lead to join our Enterprise & Store Technology team. This is a hands-on leadership role where you'll spend about 40-50% of your time coding, while also guiding the team on design, architecture, and delivery.
You'll play a key role in driving end-to-end development, partnering closely with product and business teams, and ensuring we're building scalable, high-quality solutions.
We're also evolving how we build software-so we're looking for someone who's comfortable leveraging modern AI tools (like GitHub Copilot) and can help introduce smarter, more efficient ways of working across the engineering team.
What You'll Be Doing
Delivery & Execution
  • Lead projects end-to-end-from design through deployment and production support
  • Drive code quality through reviews, best practices, and performance optimization
  • Ensure solutions are scalable, secure, and aligned with our architecture

Technical Leadership
  • Guide and mentor engineers, helping elevate overall team capability
  • Provide direction on design decisions and implementation approaches
  • Work across teams and vendors to ensure smooth integration and delivery

AI & Engineering Efficiency
  • Help the team adopt tools like GitHub Copilot and AI-assisted development tools
  • Look for opportunities to improve delivery speed through automation (testing, documentation, etc.)
  • Explore ways to incorporate AI-driven features into applications where it makes sense

Collaboration
  • Partner closely with product managers, designers, and stakeholders to translate business needs into technical solutions
  • Work with offshore teams and vendors to keep delivery on track
  • Help resolve dependencies and unblock teams quickly

Quality & Operations
  • Troubleshoot and resolve complex technical issues
  • Ensure applications perform reliably in production
  • Support releases, UAT, and continuous improvements post-launch

What We're Looking For
Technical Skills
  • Strong full-stack development experience
    • Frontend: React or Angular
    • Backend: Node.js, Java, or Python
  • Experience building microservices and APIs (REST/JSON)
  • Strong background in cloud environments (AWS preferred)
  • Solid SQL and database experience

Leadership & Approach
  • Experience leading or mentoring engineers
  • Comfortable owning delivery from start to finish
  • Strong collaboration skills across technical and non-technical teams

Nice to Have
  • Experience using AI tools (Copilot, ChatGPT, etc.) in development workflows
  • Exposure to building data-driven or intelligent features
  • Background in retail or omni-channel environments

Requirements
  • Bachelor's degree in Computer Science or related field (or equivalent experience)
  • 12+ years of experience in software development
  • 2+ years in a technical leadership role
  • Experience working in enterprise-scale, cloud-based environments

Sponsorship
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Upbound Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply