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Headquartered in San Diego, California, Mitek is a global innovator in Machine Learning and Artificial Intelligence. In 1985, Mitek became established as a publ
Senior AI Engineer
Location
California
Posted
79 days ago
Salary
$160K - $205K / year
Seniority
Senior
Job Description
Senior AI Engineer
Mitek
• 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.
Job 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
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