1

Chatgpt Integration Testing Jobs in Washington, DC

SALESFORCE DEVELOPER (AI)

Mclean, VA · On-site

$56.50 - $74.75/hr

In this role, the individual will be responsible for the design, development, testing, and ... Unit/integration test generation and improvement * API client generation, data mappings, and ...

Senior Application Developer

Mclean, VA · On-site

$97K - $133K/yr

Support integration with AWS cloud services and cloud-native architecture patterns (EC2, Lambda, S3 ... Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, automated testing ...

Senior Application Developer

Mclean, VA · On-site

$97K - $133K/yr

Support integration with AWS cloud services and cloud-native architecture patterns (EC2, Lambda, S3 ... Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, automated testing ...

Showing results 21-40

Chatgpt Integration Testing information

See Washington, DC salary details

$14

$33

$62

How much do chatgpt integration testing jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for chatgpt integration testing in Washington, DC is $33.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $41.39 per hour, depending on experience, location, and employer.

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 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 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.
What are popular job titles related to Chatgpt Integration Testing jobs in Washington, DC? For Chatgpt Integration Testing jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Chatgpt Integration Testing jobs in Washington, DC look for? The top searched job categories for Chatgpt Integration Testing jobs in Washington, DC are:

Senior Software Engineer, Applied AI

Cato Institute

Washington, DC • On-site

$100K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Description:


The Cato Institute seeks qualified candidates for the Senior Software Engineer, Applied AI position. Cato is building two technology platforms in parallel, a React-powered Next.js content platform and a Python research and operations platform, and both need an engineer who can move between them. Features, infrastructure, testing, AI integration: The work goes where the need is.


That cross-platform expectation is practical: Cato’s development environments run on AI agent orchestration with structured reasoning frameworks, automated quality enforcement, and strict type systems that catch mistakes before the engineer does. The role does not require years of experience in both TypeScript and Python. It requires strong engineering fundamentals and comfort working inside an AI-empowered development loop, as well as building and improving the agent skills undergirding it.


The Senior Software Engineer joins a small, technically ambitious team working at the intersection of policy scholarship with modern software engineering and AI-integrated workflows.


The projected salary range for this role is $100,000 - $190,000 per year.
Compensation is based on the successful candidate's educational background, experience, and skills.


About Cato


The Cato Institute is a public policy research organization — a think tank — dedicated to the principles of individual liberty, limited government, free markets, and peace. Its scholars and analysts conduct independent, nonpartisan research on a wide range of policy issues.


Founded in 1977, Cato owes its name to Cato’s Letters, a series of essays published in 18th-century England that presented a vision of a society free from excessive government power. Those essays inspired the architects of the American Revolution. And the simple, timeless principles of that revolution — individual liberty, limited government, and free markets — turn out to be even more powerful in today’s world of global markets and unprecedented access to information than Jefferson or Madison could have imagined. Social and economic freedom is not just the best policy for a free people, it is the indispensable framework for the future.


Cato Institute is an Equal Opportunity Employer.


Responsibilities

  • Build and maintain sophisticated agent skills and agentic tooling that integrate AI across engineering and operational workflows
  • Integrate AI content retrieval systems, such as Sanity’s Agent Context, into production workflows
  • Build services (e.g., API and MCP endpoints) that surface Cato’s 50 years of policy research for diverse consuming applications
  • Build and extend features, components, and shared packages across both the TypeScript / React content platform and the Python research and operations platform
  • Extend and harden core infrastructure packages across both platforms: API client integration, streaming data pipelines, document processing, and structured logging
  • Maintain testing infrastructure across both platforms, closing coverage gaps and integrating tests into continuous integration workflows

Likely Initial Focus Areas (First 6 - 12 Months)

  • Contribute to the content platform’s march toward production, picking up feature work, migration tasks, and building pipeline improvements
  • Develop familiarity with both codebases through Cato’s AI development infrastructure — project instruction files, quality enforcement hooks, and structured reasoning frameworks that provide persistent architectural context and catch errors in real time
  • Build out test suites for both platforms, prioritizing high-dependency packages and critical paths
Requirements:

Education and Experience

  • Bachelor’s degree in any field
  • 5+ years of professional software engineering experience, including work on production systems
  • Expertise with multiple major LLMs: Claude, ChatGPT, and/or Gemini
  • Expertise with agentic AI development tools (Claude Code, Codex, or similar), including authoring reusable agent capabilities — agent skills, structured workflows, and tool integrations — not just using them
  • Proficiency in TypeScript / React or Python, with demonstrated ability to work productively in languages and frameworks outside your primary expertise
  • Experience building or integrating LLM-enabled systems — prompt engineering, retrieval-augmented generation, tool use, or evaluation pipelines
Knowledge and Skills
  • Strong software engineering fundamentals: testing, version control, CI/CD, code review, and systems design
  • Comfort working across the stack — backend services, frontend components, data pipelines, and build infrastructure
  • Clear written and verbal communication; ability to document systems and explain technical decisions to non-engineers
  • Self-directed, adaptable, and comfortable with ambiguity in a small team where priorities shift
  • Familiarity with Cato’s work or demonstrated interest in public policy
Preferred Qualifications
  • Familiarity with headless CMS platforms, content modeling, or structured content systems
  • Experience building streaming or pipeline-based data processing systems
  • Experience with AI output evaluation frameworks or quality benchmarking tools
  • Experience authoring and maintaining agent skills (such as Claude/Claude Code Skills) or comparable agentic workflow packages
  • Familiarity with think tank, research, government, or academic technology environments

Benefits

All Cato employees are provided:

  • Medical, dental, and vision insurance
  • Employer contribution to a Health Savings Account (HSA)
  • Generous vacation and sick days
  • Paid parental leave
  • Employer-provided life and disability insurance
  • 401(k) employer match
  • Transit/Parking benefits
  • Pet discount plan

To Apply

Please submit the following materials:

  • Resume or CV
  • A cover letter making the case, to yourself as much as to us, for why this particular job at this particular organization. Go beyond ATS-focused keyword slop and get real.
  • Optional: links to code repositories, personal projects, or technical writing

Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer visa sponsorship.