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Sr. AI Engineer (Applied AI & ML Systems)

4 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
LLM Machine Learning 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 6

Description

  • Design, build, and deploy AI solutions powered by machine learning, LLMs, and agentic AI systems.
  • Define evaluation strategies for each use case, including success metrics, offline and online testing, error analysis, and production monitoring.
  • Build and improve LLM-based systems using prompt engineering, retrieval-augmented generation, context engineering, and multi-step workflows.
  • Partner with product, engineering, data, and business stakeholders to prioritize use cases and align on success metrics, requirements, and timelines.
  • Apply production practices such as experimentation, versioning, observability, alerting, and continuous improvement.
  • Monitor, troubleshoot, and improve production AI systems while balancing quality, latency, cost, reliability, and maintainability.
  • Integrate AI capabilities into enterprise systems and operational workflows.
  • Use evidence, feedback, and monitoring results to refine solutions over time.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 6+ years of relevant experience, with 4+ years in machine learning, applied modeling, data engineering, or software engineering for data-intensive systems.
  • 2+ years of experience building LLM-based applications, including at least 1 year building agentic AI systems.
  • Experience building and operating production data pipelines, data platforms, or large-scale data-intensive systems.
  • Hands-on experience with context engineering, retrieval-augmented generation (RAG), evaluation frameworks, prompt engineering, and optimization.
  • Experience designing agentic AI systems with 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.
  • Advanced Python skills and experience taking AI solutions from prototype to production.
  • Experience with model fine-tuning is preferred but not required.
  • Experience with vector databases, graph databases, retrieval quality tuning, and domain-specific optimization is preferred.
  • Experience designing reusable AI platforms, shared services, internal tooling, or infrastructure is preferred.
  • Experience with cloud-native AI deployment, distributed systems, and scalable serving infrastructure is preferred.

Benefits

  • Competitive, equitable compensation and benefits programs.
  • Universal, supplemental, or private healthcare plan choices, depending on country.
  • Retirement or pension plan contributions and MTK stock plan participation.
  • Life event and disability coverage for income protection.
  • Generous annual leave, company holidays, and volunteer time off.
  • E-learning license, tuition reimbursement, and hackathons for learning and development.
  • 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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