Role Description We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases. This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time. If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact. Key Responsibilities - Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level - Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases - Quickly deliver functional automation systems for client requirements - Design and improve internal AI infrastructure to reduce reliance on third-party tools - Debug, test, and refine workflows for performance and reliability - Collaborate with an operations/project manager to gather requirements and iterate on solutions - Continuously explore new AI tools and frameworks to improve system capabilities Qualifications - Proven experience working with LLMs and AI APIs (e.g., OpenAI, Claude) - Strong understanding of automation tools such as n8n, Zapier, Go High Level, or similar platforms - Ability to balance rapid implementation with long-term system scalability - Solid problem-solving skills with experience debugging workflows and integrations - Experience connecting APIs, webhooks, and third-party tools - Clear and professional English communication skills - Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems) Benefits - 💰 Competitive salary based on experience and location - 🌎 Fully remote role with flexible work environment - 🚀 Work on cutting-edge AI automation projects with real business impact - 📈 Strong growth opportunity into senior AI / systems roles - 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design - 🤝 Direct collaboration with a fast-moving, high-performance team

Role Description We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases. This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time. If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact. Key Responsibilities - Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level - Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases - Quickly deliver functional automation systems for client requirements - Design and improve internal AI infrastructure to reduce reliance on third-party tools - Debug, test, and refine workflows for performance and reliability - Collaborate with an operations/project manager to gather requirements and iterate on solutions - Continuously explore new AI tools and frameworks to improve system capabilities Qualifications - Proven experience working with LLMs and AI APIs (e.g., OpenAI, Claude) - Strong understanding of automation tools such as n8n, Zapier, Go High Level, or similar platforms - Ability to balance rapid implementation with long-term system scalability - Solid problem-solving skills with experience debugging workflows and integrations - Experience connecting APIs, webhooks, and third-party tools - Clear and professional English communication skills - Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems) Benefits - 💰 Competitive salary based on experience and location - 🌎 Fully remote role with flexible work environment - 🚀 Work on cutting-edge AI automation projects with real business impact - 📈 Strong growth opportunity into senior AI / systems roles - 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design - 🤝 Direct collaboration with a fast-moving, high-performance team

Role Description We are seeking a highly skilled AI Engineer with deep expertise in Microsoft Azure AI ecosystem, who has hands-on experience collaborating with Infrastructure and Information Security (InfoSec) teams. The ideal candidate will drive the design, development, and deployment of secure, scalable AI-powered applications and intelligent widgets across enterprise environments. - Design, develop, and deploy AI/ML solutions using Azure services such as Azure OpenAI, Azure ML, Cognitive Services, and AI Studio. - Build and integrate AI-powered applications, copilots, and widgets into enterprise platforms. - Collaborate closely with Infrastructure teams to ensure scalability, performance, and cloud optimization. - Partner with InfoSec teams to ensure AI solutions comply with security, governance, and regulatory standards. - Implement secure AI architectures, including data protection, identity management, and access controls. - Develop APIs and microservices for AI model integration into business applications. - Optimize model performance, cost, and latency in production environments. - Establish MLOps pipelines for continuous integration, deployment, monitoring, and retraining of models. - Ensure responsible AI practices including data privacy, bias mitigation, and auditability. - Provide technical leadership and mentor junior engineers. Qualifications - Strong experience with Microsoft Azure AI stack (Azure OpenAI, Azure ML, Cognitive Services). - Proficiency in Python and frameworks like FastAPI, Flask, or similar. - Experience in building LLM-based applications, prompt engineering, and RAG architectures. - Hands-on experience working with Infrastructure teams (cloud architecture, networking, containers, Kubernetes). - Strong exposure to InfoSec practices (IAM, encryption, secure coding, compliance frameworks). - Experience with API development, microservices, and distributed systems. - Familiarity with DevOps/MLOps tools (CI/CD pipelines, Docker, Kubernetes, GitHub Actions, Azure DevOps). - Solid understanding of data engineering concepts and databases (SQL/NoSQL). Preferred Qualifications - Experience with enterprise AI adoption and governance frameworks. - Knowledge of Zero Trust Architecture and cloud security best practices. - Exposure to multi-cloud or hybrid cloud environments. - Experience building chatbots, copilots, or AI-driven UI widgets. Company Description Xlysi LLC, Expert Portal Solutions 251 Milwaukee Ave, Buffalo Grove, IL 60089 Web: http://www.xlysi.com E-mail: hr@xlysi.com Our training portal registration: http://xlysi.catsone.com/careers/index.php?m=portal&a=apply&jobOrderID=345179&portalID=2106

Job descriptions may display in multiple languages based on your language selection. What we offer: At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary: Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market. Job Responsibilities: Estamos contratando | Técnico / Ingeniero de Mantenimiento Robótico Buscamos talento con sólida experiencia en industria automotriz y pasión por la automatización y robótica industrial, para asegurar la eficiencia y continuidad de nuestros procesos productivos. Propósito del Puesto Estandarizar y ejecutar actividades de mantenimiento preventivo, predictivo y correctivo en equipos productivos, garantizando su óptimo funcionamiento y el cumplimiento del programa de producción. Responsabilidades - Mantener equipos robóticos en condiciones óptimas de operación. - Diagnóstico y solución de fallas mecánicas, eléctricas y electrónicas. - Ejecución y seguimiento a planes de mantenimiento. - Uso de software, procedimientos e instructivos del área. Perfil Requerido - Escolaridad: Carrera técnica o Ingeniería - Experiencia: Mínimo 5 años en industria automotriz en puesto similar - Idioma: Inglés intermedio Conocimientos Técnicos - Programación y reparación de robots Fanuc / Nachi / ABB - Robots 120i, 2000i, 900i - Soldadura MIG y Spot Welding - PLC Allen-Bradley (SLC 500, PLC 5, RsLogix 5000) - Electricidad industrial (interpretación de diagramas) - Electrónica digital y analógica (reparación de tarjetas) - Neumática, hidráulica, metrología - ControlNet, PanelView, bases de datos - Mecánica y software de mantenimiento ¿Qué ofrecemos? - Integrarte a un entorno industrial altamente automatizado - Estabilidad laboral y crecimiento profesional - Participación en procesos clave de producción Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team. Worker Type: Regular / Permanent Group: Cosma International