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 an AI Engineer with a strong foundation in software engineering and data engineering to design and build AI systems that are reliable and production-ready.
Responsibilities
- Design, build, and deploy AI solutions powered by LLMs, RAG, and agentic AI systems that solve real business problems
- Contribute to defining evaluation strategies for AI use cases, including task success metrics, offline and online evaluation plans, error analysis, and production monitoring
- Build and improve LLM-based applications using retrieval-augmented generation (RAG), context engineering, prompt engineering, and multi-step agentic workflows
- Collaborate with senior engineers to design, implement, and operate reliable production AI systems that balance quality, latency, cost, and maintainability
- 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 software engineering and production practices across AI systems, including testing, versioning, observability, monitoring, and continuous improvement
- Monitor, troubleshoot, and improve AI systems in production by analyzing system performance, identifying failures, and implementing practical improvements
Skills
- Bachelor's degree in Computer Science or a related field, and knowledge, skills, and abilities typically associated with 4+ years of relevant experience, including:
- 2+ years of experience in one or more of the following areas: Software Engineering for data-intensive systems, Data Engineering, Machine Learning or Applied Modeling
- 2+ years of experience building LLM-based applications, including at least 1 year designing and implementing agentic AI systems as part of that experience
- Hands-on experience building LLM-powered applications, including context engineering, retrieval-augmented generation (RAG), evaluation frameworks, and prompt engineering
- Experience designing and implementing agentic AI systems, including multi-step workflows that incorporate planning, memory, tool orchestration, handoffs, and human-in-the-loop review
- Experience designing, building, or supporting production software systems, data pipelines, APIs, or large-scale data platforms
- Experience defining evaluation strategies and operating AI systems in production, including deployment, monitoring, observability, versioning, and continuous improvement
- Strong Python programming skills and experience taking AI solutions from prototype to production while balancing quality, latency, cost, reliability, and maintainability
- Experience with vector databases, graph databases, retrieval quality tuning, and optimization of LLM-powered applications
- Experience contributing to reusable AI platforms, shared services, internal tooling, or engineering frameworks that improve AI development speed, consistency, and reuse
- Experience deploying AI applications in cloud environments and working with distributed systems, scalable inference services, or production AI infrastructure
- Experience working with evaluation frameworks, model monitoring, observability, or human-in-the-loop workflows for production AI systems
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
Company Overview
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