
Job description
As a Quality Engineer, you will take ownership of key quality control processes, including audits, fall-out management, and ISO compliance, to ensure products and practices meet company and industry standards. You will collaborate with cross-functional teams to resolve quality issues, implement improvements, and support continuous compliance with ISO requirements.
Review and approve Product and Processes Corrective and Prevention Action Plans, assess and evaluate reliability testing, equipment service and calibration, and perform failure analyses, root cause analysis and corrective action follow-up.
You will work in a fast-paced manufacturing environment, develop proactive solutions and implement Quality department strategies across the organization, and prioritize and manage multiple projects to meet strict deadlines.
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Company

Tech, Software & IT Services • Healthcare • Education
MindHYVE.ai develops domain‑specific AI operating systems that embed structured, auditable reasoning workflows for regulated professions such as healthcare, education, law, and theology. Leveraging its Eve‑Fusion™ compositional fabric of multiple reasoning models and the Azure‑native Eve‑Grid™ infrastructure, the company delivers compliant solutions (HIPAA, FERPA, COPPA, GDPR) that provide the same level of analytical rigor previously confined to elite institutions. Its product suite includes nine live operating systems—ArthurAI for educators, ChironAI for clinicians, JustineAI for legal practitioners, TheoAI for theological scholarship, among others—with additional offerings in development. MindHYVE.ai’s value proposition centers on democratizing high‑quality AI reasoning, enabling practitioners worldwide to access elite decision‑support capabilities without the need for proprietary AI development. Operating from offices in Newport Beach, Islamabad, and Nairobi, the firm supports active deployments across more than 15 countries, partnering with universities, school systems, hospitals, regulatory bodies, and community organizations to extend AI infrastructure to markets underserved by traditional labs.