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Sr. AI Engineer

1 month, 2 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
LLM Machine Learning MLOps NLP Python
Apply Now
Mitek Systems

Mitek Systems

Mitek Systems develops and provides mobile capture and identity verification software solutions that enable enterprises to securely verify user identities and facilitate transactions through mobile devices, enhancing customer experiences while preventi...

Communications Equipment
251-1K
Founded 1985
View All Jobs 7

Description

  • Design, build, and deploy AI solutions powered by machine learning, LLMs, and agentic AI systems.
  • Define evaluation strategies upfront, including success metrics, offline and online testing, error analysis, and production monitoring.
  • Build and improve LLM-based applications using prompt engineering, retrieval-augmented generation, and multi-step workflows.
  • Apply MLOps and LLMOps practices such as experimentation, versioning, observability, alerting, evaluation, and continuous improvement.
  • Partner with product, engineering, and business stakeholders to prioritize use cases and align on goals, timelines, and operational needs.
  • Develop agentic AI systems that use planning, memory, handoffs, tool orchestration, and human-in-the-loop review.
  • Take AI solutions from prototype to production while balancing quality, latency, cost, reliability, and maintainability.

Requirements

  • Bachelor’s degree in Computer Science or a related field.
  • 6+ years of total relevant experience across machine learning and modern AI systems.
  • 4+ years of hands-on experience in machine learning.
  • 2+ years building LLM-based applications, including 1 year building agentic AI systems.
  • Expertise in ML, applied modeling, or NLP, including model development, evaluation, experimentation, and error analysis.
  • Hands-on experience with LLM application development, including context engineering, retrieval, evaluation frameworks, and model fine-tuning.
  • Strong experience designing and implementing agentic AI systems with multi-step workflows.
  • Strong MLOps experience, including model lifecycle management, deployment, monitoring, retraining, and production success metrics.
  • Strong LLMOps experience, including prompt and workflow versioning, retrieval and response evaluation, observability, guardrails, and continuous improvement in production.
  • Advanced Python skills and experience moving AI solutions from prototype to production.
  • Experience with vector and graph databases, retrieval quality tuning, and domain-specific optimization for LLM systems (preferred).
  • Experience with platform design, reusable components, and internal tooling to improve development speed and reuse (preferred).
  • Experience with cloud-based AI deployment and scalable serving infrastructure for ML or LLM systems (preferred).

Benefits

  • $160,000 - $205,000 annual salary.
  • Up to a 10% annual incentive bonus.
  • Comprehensive benefits package.
  • Flexible remote-first work environment with home office or office-based options.
  • Universal, supplemental, and private healthcare plan choices depending on country specifics.
  • Retirement/pension plan contributions and MTK stock plan participation.
  • Generous annual leave, company holidays, and volunteer time off.
  • Learning benefits including an e-learning license, tuition reimbursement, and hackathons.
  • Home office setup allowance.
  • Optional benefits such as pet insurance, identity theft protection, and legal assistance.

Interested in this position?

Apply directly on the company website

Apply Now

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