AI Engineer

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Teamficient

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2020

📦 Logística

📣 Marketing

✈️ Turismo

Logistics • Marketing • Travel

A Teamficient é uma empresa de propriedade de mulheres e minorias que fornece soluções gerenciadas para escritórios remotos e assistentes virtuais dedicados para empresas. Eles disponibilizam profissionais remotos treinados e bilíngues, além de equipes gerenciadas com gerentes de conta baseados nos EUA, oferecendo serviços como suporte administrativo, suporte ao cliente, contabilidade, suporte técnico e suporte especializado para autoescolas e práticas de saúde (incluindo suporte a EHR, agendamento de pacientes, coordenação de prescrições e treinamento de privacidade/HIPAA). A Teamficient opera centrais de atendimento remoto gerenciadas, enfatiza o treinamento e a segurança, e oferece compromissos mensais para ajudar as empresas a escalarem e delegarem tarefas rotineiras.

Descrição

• Design and build AI-powered applications using LLMs, RAG architectures, and other applied AI systems • Develop and maintain backend services that support AI platforms and integrate seamlessly with cloud infrastructure • Build and maintain integrations across various applications to extend AI capabilities • Deploy, optimize, monitor, and troubleshoot AI solutions on AWS, Azure, and/or GCP • Implement containerization and orchestration strategies using Docker and Kubernetes • Ensure AI systems meet performance, scalability, and reliability standards in production • Design scalable AI architectures that translate business requirements into technical solutions • Collaborate with cross-functional teams throughout the full development lifecycle • Contribute to code reviews, technical documentation, and engineering best practices

🎯 Requisitos

• 5+ years of professional experience in AI engineering, machine learning, or software engineering with an AI focus, including production deployments and strong proficiency in Python and AI/ML frameworks, with a degree in Computer Science, Engineering, or equivalent practical experience • 2-3 years of hands-on experience with LLMs and RAG architectures in production environments, including vector databases • 3+ years of experience with cloud platforms, AWS, Azure, or GCP • 2+ years of experience with Docker and Kubernetes for containerization and orchestration

🏖️ Benefícios

• Work Without Borders: Collaborate daily with experts from around the world and gain international exposure. • Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust. • Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength. • Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.