validating the quality, reliability, and safety of AI powered systems across TREND's platform
AI Testing & Validation
Design and execute test strategies for AI/ML models, including functional, regression, and scenario-based testing
Validate accuracy, consistency, and reliability of AI-generated outputs
Develop test cases for edge cases, model drift, and unexpected behavior scenarios
Evaluate model performance against defined success criteria and business requirements
Test agent-driven workflows and validate interactions between AI agents, APIs, and downstream systems
Identify failure points in end-to-end AI workflows and recommend improvements
Validate training, validation, and test datasets for completeness, accuracy, and bias risks
Perform data validation testing across pipelines to ensure integrity of inputs and outputs
Partner with Data Engineering to detect anomalies
Build and maintain automated test frameworks for AI-enabled systems
Integrate testing into CI/CD pipelines to enable continuous validation
Help define and validate guardrails for AI systems

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
Experience in QA, testing, or a related engineering role
Experience testing APIs, data pipelines, or distributed systems
Strong understanding of software testing principles and test automation
Experience working in Agile development environment
Familiarity with AI/ML concepts (model evaluation, training vs inference, prompt behavior, etc.)
Experience with test automation tools
Strong SQL/data validation skills
Experience working with cloud-based systems (AWS or Databricks preferred)
Ability to analyze system behavior and identify root causes

AI Test Engineer II

Key skills