Senior AI Test Engineer for GenAI & LLM Apps

Anaplan

North Carolina

Hybrid

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Anaplan, a leader in AI-infused scenario planning, seeks a Senior Software Development Engineer in Test to ensure quality across our GenAI-powered platform. You will design test plans, build end-to-end automated tests, and craft evaluation metrics for AI-driven workflows.

You will champion testing discipline, explore non-deterministic system behavior, and work with CI/CD to deliver reliable AI features, with attention to accuracy, safety, and latency.

Qualifications

  • Design test plans and evaluation criteria for GenAI-powered features.
  • Apply functional, integration, regression, performance tests and security testing.
  • Create test cases for non-deterministic AI systems.
  • Work with CI/CD to integrate automated tests.

Responsibilities

  • Design and architect comprehensive test plans, evaluation frameworks, and quality metrics for LLM-powered applications.
  • Develop end-to-end automated test suites in Python across evaluations, API checks, UI checks, and performance tests.
  • Create automated prompt testing systems and regression suites to detect changes in model behavior.
  • Establish evaluation criteria for accuracy, relevance, safety, and latency of GenAI features.
  • Perform adversarial testing to identify hallucinations and biases in AI models.
  • Develop internal testing tools to support GenAI deployments.
  • Deploy real-time monitoring to flag quality degradation in production.

Skills

GenAI technologies (LLMs)
Testing methodologies
Non-deterministic test design
Analytical reasoning
CI/CD & automation testing

Tools

Postman
REST Assured

Job description

Anaplan, a leader in AI-infused scenario planning, seeks a Senior Software Development Engineer in Test to ensure quality across our GenAI-powered platform. You will design test plans, build end-to-end automated tests, and craft evaluation metrics for AI-driven workflows.

You will champion testing discipline, explore non-deterministic system behavior, and work with CI/CD to deliver reliable AI features, with attention to accuracy, safety, and latency.

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