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Chatgpt Integration Testing Jobs in Tennessee (NOW HIRING)

Splash Financial

Product Manager

Only, TN

... ChatGPT, Copilot, Cursor) to accelerate research, analysis, and documentation NICE TO HAVES: * Experience with lender or partner integrations (APIs, file-based, co-branded flows) * Background in ...

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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

Mainframe Developer with AI Experience

Softcom, Inc.

Memphis, TN • On-site

$43.75 - $56.25/hr

Other

Posted 14 days ago

Job description

Job Title: Mainframe Developer with AI Experience

Location: Memphis, TN (Onsite/Hybrid as Required)
Full-Time W2 with Softcom

 

Security Requirement: Must be eligible to obtain and maintain a Public Trust Clearance

 

 

Position Overview

 Softcom is seeking an experienced Mainframe Developer with exposure to Artificial Intelligence (AI) technologies to support a federal client engagement in Memphis, TN. The ideal candidate will have strong mainframe development expertise, experience supporting legacy systems, and an interest in leveraging AI-driven tools and technologies to improve application development, business processes, and operational efficiency.

Required Qualifications

  • 10+ years of experience in Mainframe Development.
  • Strong hands-on experience with:
    • COBOL
    • JCL
    • CICS
    • DB2
    • VSAM
    • TSO/ISPF
  • Experience with system analysis, design, development, testing, and production support.
  • Strong understanding of Software Development Life Cycle (SDLC) methodologies.
  • Experience working in large enterprise environments.

AI & Modernization Skills

  • Exposure to AI/ML concepts, Generative AI, or AI-assisted development tools.
  • Experience using AI tools such as GitHub Copilot, ChatGPT, or similar technologies to enhance development productivity.
  • Understanding of mainframe modernization strategies and integration with modern platforms.
  • Experience with APIs, cloud integration, or data modernization initiatives is a plus.

 

Preferred Qualifications

  • Experience supporting Federal Government clients.
  • Familiarity with Agile development methodologies.
  • Experience with DevOps practices and automation tools.
  • Knowledge of Java, Python, or other modern application development technologies is a plus.

 

Security Requirements

  • Must successfully pass background investigations required for Public Trust processing.

 

Work Location

  • Memphis, TN
  • Candidates must be willing to work onsite or in a hybrid environment as required by the client.

 

Alan Smith | Senior Talent Acquisition Specialist at Softcom,Inc
 | 

Softcom, Inc. (SI)
SAM UEI: ZUQ3NL4NMM21 | DUNS: 199478426 | CAGE: 4TZP0

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