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Tier-1 brand, mid-level ML/GenAI role with broad requirements increases competition.
Core GenAI/LLM skills are transferable but SSD/storage qualification preference raises domain-specific fit sensitivity.
Explicit 5+ years, 2+ GenAI experience and mandatory agentic/deployment skills create strict shortlisting filters.
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Develop AI-powered agentic systems for SSD test development, validation, and qualification to improve test effectiveness and product quality.
Build autonomous workflows and copilots for test generation, execution coordination, failure analysis, and reliability risk prediction.
Collaborate cross-functionally to create scalable, AI-first qualification and validation platforms with governance and deployment best practices.
5+ years of software engineering experience.
2+ years experience in GenAI/LLM development and building end-to-end agentic workflows.
Strong proficiency in Python and cloud technologies with experience deploying enterprise-scale AI solutions.
Familiarity with RAG, MCP, tool calling, AI governance; knowledge of SSD/storage/qualification engineering preferred but not mandatory.
Experienced in designing and deploying multi-agent AI systems within engineering or test automation contexts.
Hands-on software architect with strong problem-solving and data analysis skills focused on scalable AI-driven platforms.
Background or interest in SSD/storage product validation, qualification, or reliability engineering environments.