[Remote] Sr. AI Engineer

Note: The job is a remote job and is open to candidates in USA. Mitek Systems is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions. They are seeking a Sr. AI Engineer with a strong machine learning background to design, build, and deploy AI solutions that address business problems, ensuring quality and reliability throughout the process.

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

Skills

• 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
• 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

Benefits

• Universal, supplemental, and private healthcare plan choices based on country specifics
• Retirement/pension plan contributions, MTK stock plan participation
• Life event & disability coverage
• Generous annual leave, company holidays, volunteer time off
• E-learning license, tuition reimbursement, hackathons
• Home office setup allowance
• Pet insurance, identity theft protection, legal assistance

Company Overview

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