AI Engineer

🕒 Maio 23

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Mobile Mentor

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2004

💼 Consultoria

📣 Marketing

📦 Logística

💰 Seed Round em 2008-02

Consulting • Marketing • Logistics

A Mobile Mentor é uma fornecedora líder de serviços gerenciados de TI, especializada em gestão e soluções de segurança de endpoints. Como parceira preferencial da Microsoft para gestão de endpoints, a empresa ajuda organizações a otimizar o uso do Microsoft Intune com foco na proteção dos dados corporativos e no aumento da produtividade dos usuários. Com vasta experiência na implementação do Intune para diversos clientes, a Mobile Mentor oferece soluções personalizadas, incluindo serviços de projetos, mentoria para equipes de TI e serviços gerenciados que permitem às empresas maximizar seus investimentos em tecnologias Microsoft.

Descrição

• Design, build, test, deploy, and operate AI agents for customers using a combination of low-code and pro-code approaches • Develop customer-facing AI solutions across the full ALM lifecycle, including design, development, testing, deployment, and ongoing iteration • Build and integrate multi-model AI agents, selecting and orchestrating models based on use case, performance, and cost considerations • Design and implement Retrieval-Augmented Generation (RAG) solutions, including document ingestion, vector databases, indexing strategies, and retrieval logic • Configure and integrate MCP servers and related AI infrastructure components required for secure, scalable agent execution • Implement secure authentication and authorization patterns for AI agents, including identity, permissions, and service-to-service access • Collaborate with customers to understand business requirements and translate them into scalable AI agent designs • Apply sound engineering practices including version control, environment management, testing strategies, and deployment automation • Troubleshoot and optimize AI agents for performance, reliability, and accuracy • Partner closely with security, data, and adoption teams to ensure AI solutions are safe, compliant, and aligned with governance requirements • Translate the engineering work into customer enablement — designing and delivering technical training, workshops, labs, and demonstrations that help business users adopt the AI solutions you build • Deliver enablement sessions both virtually and on-site, adapting depth and language for executive, technical, and frontline audiences • Document architectures, designs, and operational considerations as part of customer deliverables and enablement assets

🎯 Requisitos

• 5+ years of experience in software engineering, application development, or AI/automation-focused engineering roles • Hands-on experience building AI agents or AI-powered applications using low-code and pro-code frameworks • Deep understanding of AI concepts and architectures, including model inference, orchestration, and agent design patterns • Practical experience with MCP servers, agent runtimes, or equivalent AI execution frameworks • Strong experience designing and implementing RAG architectures, including vector databases and retrieval pipelines • Experience working with multi-model AI approaches, including selecting, integrating, and managing multiple models within a single solution • Solid understanding of authentication, identity, and security controls in application and API design • Experience applying ALM best practices including source control, CI/CD, environment promotion, and testing • Ability to work directly with customers in solution design and delivery engagements • Strong verbal communication and public speaking skills with the ability to confidently lead live workshops, demos, and training sessions • Ability to translate complex or technical concepts into clear, practical learning experiences for non-technical audiences • Comfort traveling for work and delivering on-site engagements as part of customer projects • Strong problem-solving skills and comfort working in rapidly evolving technical domains.

🏖️ Benefícios

• N/A