Quality Engineer - LMTS / PMTS

Join Salesforce's AI Cloud Quality Engineering team as a key member in India, working on cutting-edge AI technology including generative AI. The role focuses on leading quality initiatives for Salesforce's Einstein products & platform, which democratize AI across all clouds. The platform handles over a billion predictions daily, training thousands of models, and serves numerous customers.

As a Quality Engineer, you'll be responsible for comprehensive test plans and quality strategies, emphasizing automation. The role involves collaborating with global teams, understanding complex backend AI systems, and ensuring feature stability and reliability. You'll work with latest AI technologies, including LLM integration with various providers like Cohere, Anthropic, and internal models.

The team serves as a Center of Excellence for Quality within AI Platform teams, driving excellence through automation, tools, and streamlined processes. Key responsibilities include building test frameworks, monitoring quality metrics, and managing integration tests across different environments. The position offers exposure to cutting-edge AI technology, collaborative team environment, and opportunity to work with experts worldwide.

The ideal candidate brings 8+ years of QE experience, strong technical expertise in Java/Python/Selenium, and experience leading projects. Understanding of LLM Model hosting, fine-tuning, and integration with various AI services is highly valued. The role offers comprehensive benefits, professional development opportunities, and chance to contribute to Salesforce's mission of AI democratization.