Sr. AI Engineer

Mitek (NASDAQ: MITK) is a global leader in digital & biometric identity authentication, fraud prevention, and mobile deposit solutions. Our verified identity platform and advanced image capture solutions are built on the latest advancements in biometric recognition, artificial intelligence, computer vision and machine learning, and trusted by over 7,500 organizations worldwide. We are headquartered in San Diego, California, with operations in the United Kingdom, Spain, France, Mexico, and the Netherlands. Visit us at www.miteksystems.com. We are Virtual 1st! Whether you choose to work remotely from your home office or in-person from one of Mitek’s offices, our practices, processes and tools are designed to enable your success. At Mitek, the Future of Work is about flexibility and preference wherever and whenever we are working. Because we care about our candidates, employees and customers, we include an in-person meeting as part of our hiring process. It’s one of the ways we live our mission to “Protect What’s Real.” At Mitek, we believe that teams are more resilient, effective, and innovative when they benefit from a wide range of ideas, lived experiences, and perspectives. The strength of our organization is deeply rooted in the people who power it.​ We know that a workforce reflecting the richness of our communities and customers helps us better serve their needs. Summary  We are looking for an AI Engineer with a strong machine learning (ML) background and hands-on experience building modern AI systems. This role is best suited for someone who started in ML, applied modeling, or NLP, and later expanded into large language models (LLMs) and agentic AI systems. We are looking for someone with an evaluation-first mindset who believes AI systems should be designed with clear success criteria, testing methods, and monitoring plans from the start.   The ideal candidate brings solid ML foundations, experience working with third-party and open-source LLMs, and practical experience building multi-step AI workflows for real business problems. This background helps ensure these solutions are accurate, reliable, scalable, and grounded in sound evaluation practices.  Humility, accountability, and a growth mindset are must-haves for this role. The right candidate is comfortable admitting mistakes, learning from feedback, and adjusting quickly when evidence shows a better path.   Why This Role Matters  This role matters because we need more than someone who can build AI features. We need someone who can build AI systems in a thoughtful and reliable way. That means starting with a clear plan for how quality, risk, and business impact will be measured, and carrying that through design, launch, and ongoing improvement. This role will also help strengthen how we run AI in practice, with solid MLOps and LLMOps across ML, LLM, and agentic AI systems.