Senior AI Engineer – Applied AI, ML Systems

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🕒 June 23

🇺🇸 United States – 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 solve real 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 (RAG), context engineering, and multi-step agentic workflows. • Partner closely with product, engineering, data, and business stakeholders to prioritize AI use cases and align on success metrics, operational requirements, and delivery timelines. • Apply strong production practices across AI systems, including experimentation, versioning, observability, alerting and continuous improvement in production • Monitor, troubleshoot, and improve production AI systems by balancing quality, latency, cost, reliability, and maintainability.

🎯 Requirements

• Bachelor's degree in Computer Science or a related field, and knowledge, skills, and abilities typically associated with 6+ years of relevant experience, including: • 4+ years of experience in one or more of the following areas: • - Machine Learning or Applied Modeling • - Data Engineering • - Software Engineering for Data-Intensive Systems. • 2+ years of experience building LLM-based applications, including at least 1 year building agentic AI systems as part of that experience. • Experience building and operating production data pipelines, data platforms, or large-scale data-intensive systems. • Hands-on experience building LLM-powered applications, including context engineering, retrieval-augmented generation (RAG), evaluation frameworks, prompt engineering and optimization. Experience with model fine-tuning is preferred but not required. • Experience designing and implementing agentic AI systems, including multi-step workflows that incorporate planning, memory, handoffs, tool orchestration, and human-in-the-loop review. • Strong track record of defining evaluation strategies upfront and operating AI systems in production, including deployment, monitoring, observability, versioning, experimentation, and continuous improvement. • 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