Salesforce Agentforce Automation QA
- Canada
Contract
Applications open in a new tab.
Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original job description
Salesforce Agentforce Automation QA
About Role
- We are looking for a Salesforce Agentforce Automation Engineer with hands-on experience testing and automating AI Agents, including Salesforce Agentforce and other generic/LLM-powered agents.
The ideal candidate has a strong understanding of QA automation fundamentals and 2+ years of experience working with Agentic AI, LLMs, AI tools, or AI-driven applications.
Key Responsiblity
- Design, develop, and execute automated test cases for AI Agents and Agentic AI applications.
- Test Salesforce Agentforce agents and other AI/LLM-based agents for functionality, reliability, and expected behavior.
- Develop automation frameworks and test scripts for agent workflows, tools, integrations, and end-to-end scenarios.
- Validate AI agent responses, tool/function calling, workflows, prompts, and expected outcomes.
- Perform functional, regression, integration, and end-to-end testing of AI-powered applications.
- Identify and troubleshoot defects related to agent behavior, integrations, workflows, and automation.
- Work with developers, QA engineers, and product teams to define test strategies and acceptance criteria for AI features.
- Use modern AI-assisted development and testing tools such as Cursor, Claude, GitHub Copilot, or similar platforms.
- Create and maintain automated regression suites.
- Document test results, defects, test scenarios, and automation coverage.
- Contribute to improving QA processes and automation practices for AI-based applications.
Required Skills
- 2+ years of hands-on experience with Agentic AI / AI Agents / LLM-based applications.
- Experience testing or automating Salesforce Agentforce or similar AI agent platforms.
- Experience with QA automation and automated testing frameworks.
- Understanding of LLMs, prompts, AI agent workflows, tools/function calling, and AI application testing.
- Strong understanding of software QA fundamentals: functional, regression, integration, and end-to-end testing.
- Ability to create test scenarios for non-deterministic AI/LLM-based applications.
- Good analytical, troubleshooting, and communication skills.
More about this job
Responsibilities
Design and execute automated tests for Salesforce Agentforce and other AI agents, covering agent behavior, prompts, tool calls, workflows, integrations, and end-to-end scenarios. Maintain regression suites, troubleshoot defects, document test results, and collaborate with development, QA, and product teams to improve testing strategies and processes.
Requirements
Requires 2+ years of hands-on experience with Agentic AI, AI agents, or LLM-based applications, along with experience testing or automating Salesforce Agentforce or similar platforms. Candidates should understand QA fundamentals, AI agent workflows, prompts, and tool calling, and be able to create test scenarios for non-deterministic applications.
Skills
- Salesforce Agentforce
- Agentic AI
- LLMs
- QA Automation
- Automated Testing Frameworks
- Functional Testing
- Regression Testing
- Integration Testing
- End-to-End Testing
- AI Agent Testing
- Prompt Testing
- Tool and Function Calling
- Test Automation
- Defect Troubleshooting
- Cursor
- Claude
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
Keywords
- Salesforce Agentforce
- Agentic AI
- AI Agents
- LLMs
- QA Automation
- Automated Testing
- Automation Frameworks
- Test Scripts
- Functional Testing
- Regression Testing
- Integration Testing
- End-to-End Testing
- AI Agent Workflows
- Prompt Testing
- Tool Calling
- Function Calling
- AI Application Testing
- Non-Deterministic Testing
- Cursor
- Claude
- GitHub Copilot
- Defect Troubleshooting
- Test Strategies
- Acceptance Criteria
- Regression Suites
- Test Documentation