Back
Tier-1 employer plus mid-level GenAI role, but niche multi-agent SSD test expertise limits candidate pool.
GenAI skills transfer across industries, but SSD qualification and multi-agent test expertise add domain specificity.
Explicit 5+ years, 2+ years GenAI, and mandatory enterprise deployment and multi-agent skills increase filter strictness.
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 agentic workflows to automate SSD test development, validation, and qualification.
Create scalable AI platforms for failure analysis, test coverage optimization, and engineering decision support.
Collaborate cross-functionally to design autonomous, data-driven solutions improving SSD test effectiveness, automation, and product quality.
5+ years of software engineering experience.
2+ years experience in GenAI/LLM development and building multi-agent systems.
Strong skills in Python, cloud technologies, and deploying enterprise-scale AI solutions.
Work Experience Required: 5+ years software engineering; Notice Period: Not explicitly mentioned in the JD.
Experienced in end-to-end development of AI agent workflows particularly for testing, qualification, or reliability domains.
Proficient in advanced AI techniques including RAG, MCP, tool calling, and AI governance for engineering applications.
Familiar with SSD, storage, qualification, reliability, or validation engineering to bridge domain and AI solution engineering.