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SDET

Tek Leaders Inc


Job Location:

Charlotte, NC - USA

Monthly Salary: Not provided by the employer
Posted: 22 May 2026 (30+ days ago)
Application Deadline: 19 August 2026
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Job Description - SDET (AI / Automation-Focused)

Charlotte NC

rate only on w2

Overview

We are looking to add a Software Development Engineer in Test (SDET) to a high-performing AI product team. This is not a traditional QA rolewe need a developer-minded engineer who can build automated testing frameworks from scratch and take ownership of quality engineering across a technical AI-driven platform.

This is a greenfield testing environment so the right candidate will be excited by the opportunity to define and build the testing strategy and infrastructure.

What Were Looking For

  • Developer-first mindset (not a manual QA tester)
  • Strong interest in automation quality engineering and testing systems
  • Comfortable working in a highly technical AI-based product environment
  • Someone who can figure things out without pre-existing frameworks

Core Responsibilities

  • Design and build automated testing frameworks from scratch
  • Develop and maintain Python-based test automation
  • Partner closely with engineers to:
    • Understand how the application is supposed to work
    • Validate behavior and identify failure modes
  • Test AI-driven functionality including:
    • Prompt-based workflows
    • Output validation and edge cases
  • Help define the overall testing strategy and best practices for the team

Required Skills

  • Strong Python experience (must-have)
  • Experience building automated test frameworks
  • Background as a developer or SDET (not just QA)
  • Ability to:
    • Write code confidently
    • Work in an unstructured / greenfield environment
  • Strong communication skills:
    • Must be able to understand application behavior and validate outcomes effectively

Nice to Have

  • Experience testing React-based front-end applications
  • Familiarity with AI/LLM ecosystems:
    • General understanding of LLMs prompts and AI workflows
    • Exposure to tools like LangChain / LangGraph
  • Cloud experience (helpful but not required)

What Success Looks Like

  • Builds a scalable testing framework from the ground up
  • Becomes a key contributor in ensuring product quality and reliability
  • Helps the team better understand and test AI-specific behaviors and risks
  • Acts as a strong partner to engineering (not a downstream QA function)

Required Skills:

AISDETAutomation