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

Role Description We are looking for a talented AI Engineer to own and extend Trtl’s growing ecosystem of AI tools, agentic workflows, and integrations. This is a builder role — you will spend most of your time writing code and shipping solutions that make a measurable difference to how the business operates. You will work directly with the COO and department leads across marketing, operations, customer experience, and finance. They will bring you real problems. You will turn them into autonomous, production-grade systems. The ambition is not incremental. We want agentic systems adjusting Amazon advertising bids in real time, autonomous workflows surfacing customer intelligence, and AI-driven operations that free our team to focus on higher-value decisions. If you know what AI-native e-commerce looks like at its best — and want to build that — this role is for you. What You Will Do - Build & Own AI-Powered Tools - Own the Stack: Take ownership of Trtl’s existing suite of AI tools and agentic workflows. Maintain, improve, and extend them as the business evolves. - Ship New Solutions: Design and build new AI-powered tools end-to-end — from scoping the problem through to deployment and iteration. Production tools, not prototypes. - Integrate AI Models: Work primarily with the Anthropic API and Claude to power tools handling content analysis, classification, summarisation, generation, and decision-making. - Agentic Systems: Build and maintain agentic workflows where AI systems take actions, use tools, and operate semi-autonomously — including commercial functions such as automated bid management, performance monitoring, and operational reporting. - Software Development - Write Production Code: Clean, maintainable, well-documented code that colleagues rely on day to day. - APIs & Integrations: Build and consume APIs, connect to e-commerce platforms, marketing tools, CRMs, and communication tools. Data must flow reliably. - Infrastructure: Deploy and manage tools in cloud environments with proper scheduling, monitoring, error handling, and alerting. - Documentation: Document how systems work, how to run them, and how to troubleshoot them — clearly enough that someone else can pick it up. - Collaboration - Work closely with the COO to understand commercial priorities and translate them into a build roadmap. - Run regular structured conversations with department leads to surface friction and identify automation opportunities. - Ship fast, gather feedback, and improve. Practical utility over technical perfection. - Communicate clearly with non-technical colleagues — in plain English, not jargon. Qualifications - 3+ years of professional software development experience, with production code in your portfolio. - Hands-on experience building agentic AI systems — not just using AI tools, but building autonomous workflows that operate in production. - Strong working knowledge of LLMs in production — prompt engineering, tool use, structured outputs, agentic patterns. - Familiarity with MCP (Model Context Protocol) and modern agentic frameworks. - APIs and integrations — you are comfortable building against third-party APIs and making data move reliably between systems. - Excellent English — written and spoken. You will communicate daily with a UK-based leadership team. - Self-directed — you manage your own time, set your own priorities, and push projects forward without waiting to be told what to do next. Nice to Have - Experience with e-commerce platforms — Amazon Seller/Vendor Central, Shopify, TikTok Shop. - Experience with Amazon Advertising API or similar programmatic advertising systems. - Cloud deployment experience, particularly AWS. - Workflow automation tools — n8n, Make, Zapier or similar. - Commercial experience shipping MCP servers or agent harnesses in production. Benefits - $2,500 – $4,000 USD/month depending on experience. - Fully remote, flexible working. - Paid onboarding trip to Glasgow, Scotland. - Genuine autonomy — real ownership of the AI stack at a growing brand. - Direct access to and collaboration with the COO. - The chance to build something that actually matters to how the business operates. Contract & Payment We use an Employer of Record (EOR) provider — Deel or similar — to handle your contract, local compliance, and payment. You will receive a compliant employment contract in your country, paid in USD on a reliable monthly schedule. No invoicing, no chasing.

• Own end-to-end operations for enterprise AI and automation platforms (e.g., ChatGPT Enterprise, Microsoft Copilot, Azure AI/Azure AI Foundry, Claude, Alteryx, Perplexity, Windsurf, and emerging tools). • Ensure platforms are stable, scalable, secure, and fully compliant with firm policies, governance standards, and regulatory requirements. • Manage platform license strategy and utilization, including forecasting, optimization, renewals, and vendor engagement. • Lead platform feature enablement with governance, security, architecture, and risk partners; evaluate new capabilities and enable them safely. • Establish and continuously improve operating processes, including: Access management, Onboarding/offboarding, Incident and issue management, Change/release management, Usage monitoring and reporting, Cost transparency. • Build and oversee a tiered support model (Tier 1 via centralized IT; Tier 2 via the Applied AI Platform team) with clear SLAs, escalation paths, ownership boundaries, metrics, and continuous improvement practices. • Lead global platform operations, defining operating models, workflows, handoffs, and escalation standards across onshore and offshore teams. • Ensure the Bangalore team is structured and staffed to deliver Tier 2 support and broader platform management responsibilities. • Identify and prioritize high-impact enablement opportunities that maximize platform ROI. • Partner with AI engineers, developers, and practitioners to reduce friction, improve the developer/practitioner experience, and accelerate experimentation and adoption. • Identify opportunities to standardize, consolidate, or retire platforms to reduce complexity, risk, and cost. • Stay current on AI platform capabilities and industry trends, translating insights into practical, governed innovation for the firm.