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AI Developer (Automation Tester with Selenium, Python, and AI Experience)

DivIHN Integration
RemoteFull-timeMidPosted Jun 23, 2026
SeleniumPyTestPythonAzureCI/CD

About this role

This Mid-level SDET role focuses on bridging the gap between traditional Selenium automation and modern Generative AI, specifically using Python to build self-healing test frameworks. You will be responsible for integrating LLMs and GitHub Copilot into existing PyTest-based workflows to accelerate script creation and maintenance within an Azure/Federal environment.

Best fit for

This role is best for a Python-savvy SDET who is excited about moving beyond standard automation into the world of AI-assisted testing and self-healing frameworks.

Skills you need for this role

Detected from the job title, description, and tags.

Automation skills

  • Selenium — Still the most-asked browser automation framework in QA interviews and legacy suites.
  • Robot Framework — Keyword-driven testing framework common in enterprise QA teams.

CI/CD and DevOps

  • Azure — Common in enterprise / Microsoft-shop QA roles.

Programming languages

  • Python — Popular for API testing, data validation, and Playwright/Pytest suites.

Domain & process

  • AI in testing — Employers increasingly ask how you use AI copilots to speed up QA work.

Job description

AI Developer (Automation Tester with Selenium, Python, and AI Experience) Location: Washington, DC (primarily remote with potential interview requirements) Duration: 6 Months Only W2 candidates are eligible for this position. Description: This is not a traditional AI Engineer role, client is primarily looking for a strong Automation Engineer/SDET who has experience leveraging AI tools and LLMs to improve testing and automation processes. Task Overview

  • Design and develop test automation scripts using Selenium with Python, leveraging available AI models and LLMs to accelerate script creation, maintenance, and self-healing.
  • Build solutions using Visual Studio Code, Python, and related technologies to harness generative AI and LLMs (e.g., GitHub Copilot, Databricks).
  • Integrate the existing Python test automation framework with AI-based solutions to improve coverage, reliability, and efficiency.
  • Ensure all AI scripts and programs are fully executable on postal-issued laptops within approved security and environment constraints.
  • Train designated team members to execute, troubleshoot, and maintain the AI scripts and programs.
  • Develop comprehensive training materials and documentation to support knowledge transfer and long-term maintenance. Required Skills:
  • Selenium Automation Testing
  • Python Development
  • Test Automation Framework Development
  • Visual Studio Code
  • AI / Generative AI Experience
  • GitHub Copilot and/or Databricks experience
  • Experience integrating AI capabilities into automation solutions
  • Strong documentation and knowledge transfer skills Preferred Experience:
  • OpenAI or Azure OpenAI
  • LLMs and Prompt Engineering
  • AI-assisted test automation
  • Self-healing automation frameworks
  • API testing
  • CI/CD automation
  • PyTest, Robot Framework, or similar tools Required Experience: Minimum 2–3 years of specialized AI development experience in technology or software development using Visual Studio Code, Python, Selenium, Databricks, Co-pilot etc. Educational Requirements: A degree from an accredited college or university in a relevant field is preferred.

Job highlights

  • •Role: AI Developer (Automation Tester with Selenium, Python, and AI Experience)
  • •Company: DivIHN Integration
  • •Location: Remote
  • •Type: Full-time
  • •Experience: Mid
  • •Seniority: Mid
  • •Posted: Jun 23, 2026

Key skills: Selenium · PyTest · Python · Azure · CI/CD

How to prepare for this interview

A 5-step prep plan tailored to this job's stack.

  1. 1Review your Python-based Selenium framework patterns, focusing on Page Object Model and PyTest fixtures.
  2. 2Practice prompt engineering specifically for code generation and refactoring within GitHub Copilot.
  3. 3Prepare examples of how you have used or would use AI to implement self-healing mechanisms in a test suite.
  4. 4Study Azure OpenAI integration basics, particularly how to call LLM APIs using Python scripts.
  5. 5Refresh your knowledge on CI/CD pipeline integration to explain how AI-driven tests can be triggered and reported.

Likely interview questions for this role

Tuned to the stack we detected on this job.

  • Q1.How have you specifically used GitHub Copilot or LLMs to accelerate the development of Selenium test scripts?
  • Q2.Can you describe a strategy for implementing a self-healing locator mechanism using Python and AI?
  • Q3.What security considerations must be taken into account when running AI-generated code in a restricted federal laptop environment?
  • Q4.How would you integrate Azure OpenAI into an existing PyTest framework to analyze test failure logs?
  • Q5.Explain your process for documenting and training other manual testers on using AI-based automation tools.
Rehearse with AI Mock Interview Full interview prep guide

Salary context

Compensation not disclosed.

The employer has not published a specific salary range for this role. Since this is a specialized Mid-level position requiring a blend of Selenium automation and AI engineering, compensation may vary based on your specific experience with LLMs and Azure OpenAI. We suggest checking our salary guide or internal benchmarks for Mid-level SDET and AI Developer roles to prepare for your compensation discussion.

See QA/SDET salary benchmarks →

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