Senior AI Engineer

Job not on LinkedIn

🕒 April 28

🏄 California – Remote

🏄 California – Remote

💵 $160k - $205k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Mitek Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1986

🤖 Artificial Intelligence

📋 Compliance

🔐 Security

Artificial Intelligence • Compliance • Security

Mitek Systems is a leading provider of identity verification and biometric authentication solutions, serving a wide array of industries. It specializes in technologies such as mobile capture, biometric authentication, and fraud detection, offering AI-driven solutions to enhance compliance, security, and customer onboarding processes. Mitek Systems is renowned for its pioneering Mobile Deposit technology and its 4-dimensional biometric authentication, which includes face and voice liveness detection. The company focuses on protecting against financial fraud and ensuring compliance with regulatory standards, helping businesses to build customer trust through secure and seamless user experiences.

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• 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