Senior AI Engineer

Vaga não está no LinkedIn

🕒 Abril 28

🏄 California – Remoto

🏄 California – Remote

💵 $160.000 - $205.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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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 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.

🎯 Requisitos

• 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.

🏖️ 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