Back
Tier-1 employer and metro location increase competition, though specialized GenAI and SSD testing experience narrows qualified applicants.
Core GenAI, multi-agent, and cloud deployment skills transfer across industries, but SSD validation context increases domain specificity.
Explicit 5+ years plus 2+ years GenAI and mandatory multi-agent, deployment, and enterprise AI requirements enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and implement AI-powered autonomous agents to automate SSD test development, validation, and qualification workflows.
Build scalable AI-driven platforms and analytics tools for failure analysis, test coverage optimization, and qualification execution coordination.
Collaborate with cross-functional teams to deploy agent-based engineering solutions that reduce qualification cycle time and improve product quality.
Minimum 5 years of software engineering experience.
At least 2 years of experience in GenAI/LLM development and building end-to-end agentic workflows.
Strong proficiency in Python and cloud technologies; experience with RAG, MCP, tool calling, and AI governance is required.
Work Experience Required: 5+ years software engineering experience; specific notice period not explicitly mentioned in the JD.
Experienced in multi-agent AI systems and deploying enterprise-scale AI solutions specifically in testing and engineering automation.
Familiarity with SSD, storage, qualification, reliability, or validation engineering domains is preferred but not mandatory.
Proven ability to architect and deliver complex AI-first qualification and validation products working with cross-functional engineering and data science teams.