Software Development Engineer In Test

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

We're pioneering a new role focused exclusively on quality assurance for GenAI/Agentic systems. As our Senior SDET for AI, you'll develop testing strategies, evaluation frameworks, and quality metrics specifically designed for LLM-powered applications. This role requires a unique blend of QA expertise, understanding of GenAI behavior, and automation skills to ensure our AI features are reliable, accurate, and trustworthy.

Your Impact

• Design and architect comprehensive test plans, evaluation frameworks, and quality metrics designed specifically for LLM-powered applications and agentic workflows.
• Develop robust, 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 proactively detect unintended changes in model behavior.
• Establish multi-dimensional evaluation criteria to measure and track GenAI quality across accuracy, relevance, safety, consistency, and latency.
• Perform adversarial testing (red-teaming) to identify and mitigate model hallucinations, biases, or security vulnerabilities.
• Develop internal tools and testing frameworks that enable software engineering teams to seamlessly validate their own GenAI implementations.
• Deploy real-time monitoring and alerting systems to quickly detect and flag quality degradation of AI features in production.
• Own the overall quality and testing strategy for your workstream, maintaining high-fidelity test datasets ("golden examples") and defining QA best practices.

Your Skills

• Deep understanding of GenAI technologies including LLMs, prompt engineering, and AI application patterns.