Sr. AI Engineer

Mitek Systems

130d • Hybrid

About The Position

Mitek is seeking an AI Engineer with a strong machine learning (ML) background and hands-on experience building modern AI systems. This role is ideal for someone who started in ML, applied modeling, or NLP, and later expanded into large language models (LLMs) and agentic AI systems. The position requires an evaluation-first mindset, emphasizing clear success criteria, testing methods, and monitoring plans from the outset. The ideal candidate will possess solid ML foundations, experience with third-party and open-source LLMs, and practical experience building multi-step AI workflows for real business problems, ensuring solutions are accurate, reliable, scalable, and grounded in sound evaluation practices. Humility, accountability, and a growth mindset are essential, with a comfort level in admitting mistakes, learning from feedback, and adapting quickly.

This role is crucial for building AI systems thoughtfully and reliably, starting with a clear plan for measuring quality, risk, and business impact throughout the design, launch, and improvement phases. It will also contribute to strengthening Mitek's AI practices through robust MLOps and LLMOps for ML, LLM, and agentic AI systems.

Requirements

• Bachelors’ degree in Computer Science or related field, and knowledge, skills and abilities typically associated with 6+ years of total relevant experience across ML and modern AI systems including:
• 4+ years of hands-on experience in machine learning
• 2+ years building LLM-based applications, 1 of which consists of building agentic AI systems as part of that LLM application experience
• Expertise in ML, applied modeling, or NLP, including model development, evaluation, experimentation, and error analysis
• Hands-on experience building LLM-based applications, including context engineering, retrieval, evaluation frameworks, and model fine-tuning.
• Experience designing and implementing agentic AI systems, including multi-step workflows that use planning, memory, handoffs, tool orchestration, and human-in-the-loop review.
• Strong experience with MLOps for ML systems, including model lifecycle management, deployment, monitoring, retraining, and production success metrics.
• Strong experience with LLMOps for LLM-based applications, including prompt and workflow versioning, retrieval and response evaluation, observability, guardrails, and continuous improvement in production.
• Advanced Python skills and experience taking AI solutions from prototype to production while balancing quality, latency, cost, reliability, and maintainability.

Nice To Haves

• Experience with vector and graph databases, retrieval quality tuning, and domain-specific optimization for LLM-based systems.
• Experience with platform design, reusable components, and internal tooling that improves AI development speed and reuse.
• Experience with cloud-based AI deployment and scalable serving infrastructure for ML or LLM systems.

Responsibilities

• Design, build, and deploy AI solutions powered by ML, LLMs, and agentic AI systems that address clear business problems.
• Define evaluation strategies upfront for each use case, including task success metrics, offline and online evaluation plans, error analysis, and production monitoring requirements.
• Build and improve LLM-based systems using prompt engineering, retrieval-augmented generation, and multi-step workflows.
• Apply MLOps and LLMOps practices, including experimentation, versioning, observability, alerting, model and prompt evaluation, and continuous improvement in production.
• Partner closely with product, engineering, and business stakeholders to prioritize AI use cases and align on success metrics, operational needs, and delivery timelines.

Benefits

• Up to a 10% annual incentive bonus
• Wellness: Universal, supplemental, and private healthcare plan choices based on country specifics
• Financial future: retirement/pension plan contributions, MTK stock plan participation
• Income protection: life event & disability coverage
• Paid time off: generous annual leave, company holidays, volunteer time off
• Learning: e-learning license, tuition reimbursement, hackathons
• Home office setup allowance
• Additional/optional benefits: pet insurance, identity theft protection, legal assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior