
51 - 200 Mitarbeiter
Gegründet 2004
🏢 Unternehmen
🔒 Cybersecurity
💰 Seed Round im 2008-02
Managed IT Services • Enterprise • Cybersecurity
Mobile Mentor ist ein führender Anbieter von Managed IT Services, spezialisiert auf Endpoint-Management und Sicherheitslösungen. Als bevorzugter Microsoft-Partner für Endpoint-Management hilft das Unternehmen Organisationen dabei, ihre Nutzung von Microsoft Intune zu optimieren, mit einem Fokus auf dem Schutz von Unternehmensdaten und der Steigerung der Benutzerproduktivität. Mit umfassender Erfahrung in der Implementierung von Intune für verschiedene Kunden bietet Mobile Mentor maßgeschneiderte Lösungen, einschließlich Projektservices, Mentoring für IT-Teams und Managed Services, die es Unternehmen ermöglichen, ihre Investitionen in Microsoft-Technologien optimal zu nutzen.
🕒 vor 23 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
Gegründet 2004
🏢 Unternehmen
🔒 Cybersecurity
💰 Seed Round im 2008-02
Managed IT Services • Enterprise • Cybersecurity
Mobile Mentor ist ein führender Anbieter von Managed IT Services, spezialisiert auf Endpoint-Management und Sicherheitslösungen. Als bevorzugter Microsoft-Partner für Endpoint-Management hilft das Unternehmen Organisationen dabei, ihre Nutzung von Microsoft Intune zu optimieren, mit einem Fokus auf dem Schutz von Unternehmensdaten und der Steigerung der Benutzerproduktivität. Mit umfassender Erfahrung in der Implementierung von Intune für verschiedene Kunden bietet Mobile Mentor maßgeschneiderte Lösungen, einschließlich Projektservices, Mentoring für IT-Teams und Managed Services, die es Unternehmen ermöglichen, ihre Investitionen in Microsoft-Technologien optimal zu nutzen.
• 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
• 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.
• N/A
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