Overview
Remote
Depends on Experience
Part Time
No Travel Required
Unable to Provide Sponsorship
Skills
Amazon Web Services
Artificial Intelligence
Automated Testing
Cloud Computing
Decision-making
Docker
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
Kubernetes
Large Language Models (LLMs)
Machine Learning (ML)
Microsoft Azure
Microsoft Certified Professional
Quality Assurance
Reporting
Servers
Test Scenarios
Test Strategy
Testing
Agentic Automation
Agentic AI
QA Software
test automation
MCP servers
AWS
Azure
GCP
AI/ML
Job Details
4 positions - Remote Opportunity
Skills Mandatory: AI/ML, Agentic AI - (AI Projects with Agentic Automation)
Experience: 3+ years of experience in Software QA, with at least 2+ years focused on test automation development
Key Responsibilities
- Design and Develop Agentic Tests: Architect, build, and maintain an Agentic Test Automation Framework capable of autonomously generating test scenarios, interacting with AI systems (e.g., LLMs, predictive models, decision-making systems) as a user or another agent, and reporting outcomes.
- Test Strategy for AI: Define and implement comprehensive QA strategies tailored for AI systems
- Experience testing Large Language Models (LLMs), Generative AI, or complex decision-making systems.
- Experience with using/building MCP servers.
- Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization technologies (Docker, Kubernetes)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.