Senior AI Engineer – Applied AI, ML Systems

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🕒 Junho 23

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $205.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Mitek Systems

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1986

🤖 Inteligência Artificial

📋 Conformidade

🔐 Segurança

Artificial Intelligence • Compliance • Security

A Mitek Systems é um fornecedor líder de soluções de verificação de identidade e autenticação biométrica, atendendo a uma ampla gama de indústrias. A empresa se especializa em tecnologias como captura móvel, autenticação biométrica e detecção de fraudes, oferecendo soluções impulsionadas por IA para aprimorar os processos de conformidade, segurança e integração de clientes. A Mitek Systems é renomada por sua tecnologia pioneira de Depósito Móvel e sua autenticação biométrica em 4 dimensões, que inclui detecção de vivacidade facial e de voz. A empresa se concentra em proteger contra fraudes financeiras e garantir a conformidade com os padrões regulatórios, ajudando negócios a construir confiança com os clientes por meio de experiências de usuário seguras e contínuas.

Descrição

• Design, build, and deploy AI solutions powered by ML, LLMs, and agentic AI systems that solve real 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 (RAG), context engineering, and multi-step agentic workflows. • 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 production practices across AI systems, including experimentation, versioning, observability, alerting and continuous improvement in production • Monitor, troubleshoot, and improve production AI systems by balancing quality, latency, cost, reliability, and maintainability.

🎯 Requisitos

• Bachelor's degree in Computer Science or a related field, and knowledge, skills, and abilities typically associated with 6+ years of relevant experience, including: • 4+ years of experience in one or more of the following areas: • - Machine Learning or Applied Modeling • - Data Engineering • - Software Engineering for Data-Intensive Systems. • 2+ years of experience building LLM-based applications, including at least 1 year building agentic AI systems as part of that experience. • Experience building and operating production data pipelines, data platforms, or large-scale data-intensive systems. • Hands-on experience building LLM-powered applications, including context engineering, retrieval-augmented generation (RAG), evaluation frameworks, prompt engineering and optimization. Experience with model fine-tuning is preferred but not required. • Experience designing and implementing agentic AI systems, including multi-step workflows that incorporate 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, including deployment, monitoring, observability, versioning, experimentation, and continuous improvement. • Advanced Python skills and experience taking AI solutions from prototype to production while balancing quality, latency, cost, reliability, and maintainability.

🏖️ Benefícios

• 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