وظائف مهندسين ميكانيكا في مصر

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> عن الوظيفة: مهندس ذكاء اصطناعي مطبق (AI-First / ترميز فيايب) عن الدور <p>نحن نبحث عن <strong>مهندس ذكاء اصطناعي مطبق</strong> لتصميم وبناء ونشر حلول ذكاء اصطناعي ذكية تحل تحديات أعمال حقيقية. في هذا الدور، ستعمل مع نماذج اللغة الكبيرة (LLMs)، والتوليد المعزز بالاسترجاع (RAG)، وGraphRAG، ووكلاء الذكاء الاصطناعي، و graphs المعرفة لإنتاج تطبيقات ذكاء اصطناعي قابلة للتوسع وجاهزة للإنتاج.</p><br> <p>هذه وظيفة هندسية <strong>معتمدة على AI</strong>، حيث يعتبر الاستفادة من أدوات تطوير AI مثل ChatGPT وCursor وGitHub Copilot وClaude وWindsurf جزءاً أساسياً من سير العمل التطويري.</p><br> <b>المسؤوليات الرئيسية</b> <ul><li>تصميم وتطوير ونشر تطبيقات مدعومة بالذكاء الاصطناعي باستخدام LLMs.</li><li>بناء وتحسين خطوط RAG وGraphRAG.</li><li>تطوير وكلاء AI وتدفقات عمل متعددة الوكلاء لأتمتة الأعمال.</li><li>تصميم وإدارة رسومات المعرفة باستخدام تقنيات GraphDB.</li><li>دمج مصادر بيانات المؤسسة مع تطبيقات AI.</li><li>هندسة العروض (prompts) وتدفقات العمل وتنظيم الوكلاء لنُظم AI موثوقة.</li><li>تقييم وتحسين نماذج AI من حيث الجودة والكمون وقابلية التوسع والتكلفة.</li><li>بناء واجهات برامج تطبيقية (APIs) وخدمات AI جاهزة للإنتاج.</li><li>التعاون مع فرق متعددة الوظائف لتقديم منتجات مدفوعة بالذكاء الاصطناعي.</li><li>الاطلاع المستمر على أحدث موديلات AI والأطر وأفضل الممارسات.</li></ul> المتطلبات <ul><li>درجة البكالوريوس في علوم الكمبيوتر، هندسة البرمجيات، AI، أو مجال ذو صلة.</li><li>خبرة 3+ سنوات في تطوير تطبيقات مدفوعة بالذكاء الاصطناعي أو البيانات المكثفة.</li><li>إتقان قوي للغة بايثون.</li><li>خبرة عملية مع LLMs (OpenAI، Azure OpenAI، Anthropic، Gemini، أو ما يعادلها).</li><li>خبرة في تطبيق Retrieval-Augmented Generation (RAG).</li><li>خبرة مع قواعد بيانات الرسوم البيانية مثل Neo4j، Amazon Neptune، Memgraph، أو GraphDB.</li><li>الإلمام بواجهات البيانات الشعاعية مثل Pinecone، Qdrant، Weaviate، Milvus، أو pgvector.</li><li>خبرة في دمج نماذج AI من خلال APIs وSDKs.</li><li>فهم قوي لـ REST APIs وGit وDocker ومنصات السحابة (Azure، AWS، أو GCP).</li><li>مهارات تحليلية قوية، تصحيح أخطاء، وحل مشكلات.</li></ul> المؤهلات المفضلة <ul><li>خبرة في بنى GraphRAG.</li><li>معرفة بأطر وكلاء AI مثل LangGraph وCrewAI وAutoGen وSemantic Kernel أو OpenAI Agents SDK.</li><li>خبرة مع بروتوكول سياق النموذج (MCP).</li><li>هندسة العروض وإطارات تقييم AI.</li><li>معرفة بالبحث الدلالي واسترجاع الهجين.</li><li>خبرة مع FastAPI وDjango أو Flask.</li><li>المام بـ Kubernetes وخطوط CI/CD والميكروخدمات.</li><li>خبرة في بناء رسومات المعرفة وتصميم الأن ontology.</li></ul> What We Offer <ul><li>فرصة لبناء منتجات AI متطورة.</li><li>بيئة هندسية تعاونية ومبتكرة.</li><li>التعرض لأحدث تقنيات وأطر AI.</li><li>نماء مهني وفرص تعلم مستمر.</li><li>رواتب ومزايا تنافسية.</li></ul> Join Our Team <p>إذا كنت شغوفاً ببناء تطبيقات AI عملية، وتستمتع بالعمل مع أحدث تقنيات AI، وتزدهر في بيئة تطوير AI-first، فنتطلع لسماعك!</p><br> <br> <br> </div>

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> <span>تبحث Talent 360 عن "مهندس بيانات ونسيج ذكاء اصطناعي كبير" للانضمام إلى فريقهم المتنامي!<br> إذا كنت شغوفاً بالذكاء الاصطناعي ومنصات البيانات الحديثة وبناء حلول بيانات قابلة للتوسع، فهذه فرصة ممتازة لتطوير مسيرتك المهنية في بيئة ديناميكية وتعاونية.<br> كمهندس ذكاء اصطناعي كبير ونسيج بيانات، ستكون مسؤولاً عن تصميم وتطوير وتحسين حلول بيانات مدفوعة بالذكاء الاصطناعي وهند Architectures لنسيج البيانات.<br> ستقوم ببناء وصيانة خطوط أنابيب بيانات قابلة للتوسع، ودمج قدرات الذكاء الاصطناعي والتعلم الآلي في منصات البيانات المؤسسية، والتعاون مع فرق متعددة الوظائف لتقديم حلول آمنة وعالية الأداء وموجهة بالبيانات تدعم مبادرات الأعمال والتحليلات.<br> صناعة الشركة: خدمات تكنولوجيا المعلومات الموقع: المعادي - القاهرة ساعات العمل: من 9:00 صباحاً إلى 5:00 مساءً.<br> أيام العمل: من الأحد إلى الخميس.<br> المزايا: راتب جذاب - تأمين اجتماعي وصحي - بيئة ودودة - فرص التعليم والتطوير - مزايا أخرى قدم الآن لدفع الابتكار والنمو مع فريقنا الديناميكي!<br> قيادة الاكتشاف الفني وتقييمات نضج البيانات مع عملاء المؤسسات عبر المملكة العربية السعودية ومصر تصميم وتقديم معماريات منصات البيانات باستخدام الأدوات الحديثة (Microsoft Fabric، Azure Data Services، OpenMetadata، SQLMesh) إنشاء حالات عمل مقنعة تربط حوكمة البيانات وقدرات الذكاء الاصطناعي بنتائج أعمال قابلة للقياس وضع مقترحات تقنية وهياكل حلول ونماذج تسعير لمهام البيانات والذكاء الاصطناعي تقديم عروض توضيحية لسير عمل وكلاء الذكاء الاصطناعي والتشغيل الآلي القائم على الوكلاء وأنماط الوصول إلى البيانات الحوارية دعم مسارات البيع المشتركة مع Microsoft لـ Azure AI وMicrosoft Fabric وفرص Copilot التعاون مع مطور المنتج لمواءمة عروض ما قبل البيع مع قدرات المنتج الحالية المساهمة في محتوى الفكر القيادي: الكتب البيضاء والدراسات الحالة والمشاركات التقنية تتبع المشهد التنافسي عبر منصات حوكمة البيانات والذكاء الاصطناعي (Informatica, Collibra, Databricks, Coalesce) مؤهلات الوظيفة: خبرة 3-5 سنوات في هندسة البيانات، هندسة البيانات، أو ما قبل البيع للذكاء الاصطناعي/التعلم الآلي فهم التكدس الحديث للبيانات: مستودعات البيانات، أحواض البيانات، خطوط ETL/ELT، حوكمة البيانات مُلم بطر خدمات البيانات (Azure Data Factory, Synapse, Microsoft Fabric, Purview أو ما يماثلها) الإلمام بمفاهيم الذكاء الاصطناعي/التعلم الآلي وتطبيقاتها العملية في بيئات المؤسسات خبرة في إنشاء مخططات هندسة البيانات والوثائق الفنية مهارات تقديم وسرد قصص استثنائية، قادرة على ترجمة المفاهيم التقنية للجمهور التنفيذي الطلاقة في الإنجليزية والعربية</span> </div>

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>عن ServerHub: في ServerHub، نقود الأعمال باستخدام حلول سحابية واستضافة عالية الأداء. مهمتنا هي توفير بنية تحتية موثوقة وقابلة للتوسع وآمنة للعملاء في جميع أنحاء العالم. بوصفك مهندس نظام Linux من المستوى L3، ستكون في طليعة عملياتنا، مع ضمان أن منصات الاستضافة لدينا مُحسّنة وآمنة ومتاحة باستمرار.</p><p>مسؤوليات العمل:</p><ul><li>التصعيد وحل المشكلات: العمل كنقطة التصعيد النهائية (L3) للمشاكل المعقدة المرتبطة بالخادم والاستضافة والشبكة. تشخيص وحل فشل النظام الحاسم وانقطاع الشبكة ومشكلات الأداء.</li><li>إدارة خادم Linux: إدارة وتحسين وتأمين بيئات الاستضافة المعتمدة على Linux (CentOS، Ubuntu، RHEL). إدارة وتحسين خوادم الويب (Apache، Nginx، LiteSpeed)، قواعد البيانات (MySQL، PostgreSQL)، وطبقات التخزين المؤقت (Redis، Memcached). بناء ونشر الخوادم من الصفر، وضمان تكوينات مثلى للأداء والأمن.</li><li>الأتمتة والديف أبس: تطوير وصيانة نصوص الأتمتة (Bash، Python، Perl) لتوفير الخوادم وإدارة التكوين. استخدام Ansible، Terraform أو أدوات مماثلة لأتمتة نشرات البنية التحتية.</li><li>السحابة والافتراضية: نشر وإدارة بيئات KVM، OpenStack، VMware، أو حاويات (Docker، Kubernetes). دعم حلول الاستضافة السحابية (AWS، Google Cloud، Azure).</li><li>الأمن والالتزام: تطبيق أفضل ممارسات الأمن، بما في ذلك قواعد الجدار الناري، SELinux/AppArmor، IDS/IPS. إجراء تقييمات الثغرات وإدارة التصحيحات لتأمين بيئات العملاء.</li><li>المراقبة والاستجابة للحوادث: إعداد ومراقبة أدوات مثل Prometheus، Grafana، Zabbix، Nagios. المشاركة في مناوبة الاتصال على مدار 24/7 للحالات الحرجة للنظام.</li><li>التعاون والتوجيه: العمل عن كثب مع فرق NOC، DevOps، والهندسة لضمان تشغيل سلس. تقديم الإرشاد والتوجيه لمهندسي الدعم من المستوى L1 وL2.</li></ul></div></section><section><p class="heading">الملف المرغوب فيه للمرشح</p><p class="paragraph"></p><ul><li>11+ سنوات من خبرة إدارة أنظمة Linux بشكل عملي في بيئة استضافة ويب أو سحابية.</li><li>7+ سنوات من الخبرة في منصب أرفع أو دور مهندس المستوى 3.</li><li>يجب أن تكون خبيرًا في KVM و Livbirt بحد أدنى 7+ سنوات من الخبرة.</li><li>معرفة خبرة بأنظمة استضافة الويب (cPanel، Plesk، WHM، أكوام LAMP/LEMP).</li><li>قدرات برمجية قوية في Perl و Bash و Python.</li><li>خبرة في أدوات إدارة التكوين (Ansible، Puppet، Chef).</li><li>خبرة في الشبكات مع فهم TCP/IP، DNS، VPN، جدران حماية، وتوازان التحميل.</li><li>الإلمام بأنظمة التخزين الموزعة مثل RAID، SAN، NAS.</li><li>خبرة في العمل ضمن بيئة إنتاج على مدار 24/7 مع واجبات من الاتصال عند الحاجة.</li><li>القدرة على بناء وتكوين الخوادم من الأساس.</li><li>الشهادات مثل RHCE، AWS Certified SysOps Administrator، أو Kubernetes (CKA) تعتبر ميزة.</li><li>مهارات تواصل باللغة الإنجليزية جيدة</li></ul><p></p></section>

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> <span>حول الشركة CodeNinja هي شركة عالمية تقدم خدمات الذكاء الاصطناعي والهندسة تساعد المؤسسات في البناء والتوسع والتشغيل لأنظمة ذكية.<br> مع أكثر من 350 مهندسًا عبر أربع قارات و400+ نشر ناجح، تمكّن CodeNinja المؤسسات من استغلال الذكاء الاصطناعي من خلال مراكز القدرات العالمية، والعمل بالذكاء الاصطناعي، والذكاء الاصطناعي المادي، ومختبرات الذكاء الاصطناعي.<br> مُعترَف بها بين أسرع شركات الذكاء الاصطناعي نموًا في باكستان وحائزة على عدة جوائز على Clutch، تمكّن CodeNinja أكثر من 250 عميلًا حول العالم من الابتكار والتشغيل الآلي والتنافس في اقتصاد الذكاء.<br> حول الدور: نحن نبحث عن مهندس ذكاء اصطناعي عملي مسؤول عن تصميم وتطوير وتشغيل أنظمة برمجيات تعمل بالذكاء الاصطناعي وتقديم قيمة فورية وواقعية.<br> يقع هذا الدور عند تقاطع هندسة البرمجيات وهندسة المنتجات والذكاء الاصطناعي التطبيقي، مع تركيز قوي على التطبيق العملي بدلاً من البحث أو تطوير نماذج نظرية.<br> كجزء من نموذج التشغيل المعتمد على الذكاء الاصطناعي لدى CodeNinja، ستستفيد من LLMs ووكلاء الذكاء الاصطناعي والأتمتة لتحسين كيفية بناء البرمجيات ونشرها وتشغيلها بشكل جذري.<br> المسؤوليات الأساسية: هندسة الموجهات: تصميم واختبار وتحسين الموجهات المعقدة لاستخراج النصوص والبيانات المالية بدقة.<br> تصور البيانات: قيادة أدوات الذكاء الاصطناعي التوليدية وبرمجة الشيفرة لإنتاج مخططات تحليلات غنية.<br> أتمتة العمليات: بناء تدفقات عمل LLM ذاتية التشغيل ووكلاء لاستبدال عمليات إعداد التقارير اليدوية.<br> تخصيص النماذج: ضبط دقيق أو تطبيق Retrieval-Augmented Generation (RAG) على النماذج باستخدام المستندات المالية.<br> معالجة البيانات: تنظيفها وتManipulateها وإعادة هيكلتها من ملفات مالية خام إلى حمولات موجهة محسّنة.<br> الخبرة: ٣+ سنوات في الذكاء الاصطناعي وعلوم البيانات والهندسة البرمجية، مع خبرة عملية في مشاريع بنكية.<br> اللغات الأساسية: بايثون متقدم (Pandas وNumPy وMatplotlib وSeaborn وLangChain وLlamaIndex).<br> أدوات الذكاء الاصطناعي: خبرة عملية واسعة مع نماذج LLM التجارية، قواعد بيانات الشعاع، وDataRobot وSAS EG .<br> لماذا الانضمام إلينا: اعمل في مقدمة هندسة البرمجيات المعتمدة على الذكاء الاصطناعي، مع إعادة تعريف كيفية بناء البرمجيات اليوم.<br> بناء أنظمة ذكية فعليّة للإنتاج ذات تأثير قابل للقياس.<br> العمل بإحساس عالٍ بالملكية والاستقلالية، مع تعزيزها بأدوات ذكاء اصطناعي قوية.<br> التعاون مع مهندسين موهوبين وقادة منتجات في بيئة مدفوعة بالابتكار.<br> كن جزءًا من ثقافة تُقدّر التنفيذ والتعلم والتميز الهندسي.<br> التنبيه: CodeNinja صاحب عمل يوفر فرص متكافئة.<br> نحتفل بالتنوع ونلتزم بخلق بيئة شاملة لجميع الموظفين.<br> جميع جوانب التوظيف بما فيها قرار التعيين والترقية والتأديب أو الفصل ستعتمد على الجدارة والكفاءة والأداء.<br> يُشجَّع الإناث والأقليات بشدة ويتفضَّل تقديم الطلب للدور.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Key Responsibilities Lead the entire ML lifecycle from data collection and analysis to model deployment, monitoring, and optimization. Apply deep learning and NLP techniques to develop solutions, potentially enhancing systems like search or recommendation engines. Design and implement end-to-end ML pipelines, incorporating MLOps best practices for CI/CD, containerization (Docker, Kubernetes), and cloud deployment ( AWS , GCP, Azure). Utilize LLM knowledge, including prompt engineering and fine-tuning, to build advanced generative AI applications and conversational AI solutions. Perform comprehensive data analytics, including statistical analysis and feature engineering, to inform model development and extract actionable insights from large datasets. Write production-quality, robust code in Python (and potentially other languages like Java or Scala), ensuring code quality through reviews and testing. Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to translate business requirements into technical ML solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Proven experience as a Machine Learning Engineer with a strong portfolio of deployed production models. Proficiency in Python and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in data science methodologies, statistical analysis, and data analytics. Hands-on experience with MLOps tools and practices for managing the ML application lifecycle. Strong understanding of NLP and experience with LLMs and prompt engineering techniques. Solid software engineering background with knowledge of data structures, algorithms, and system design. Excellent problem-solving, communication, and collaboration skills.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Software Engineer designs, develops, and maintains scalable, secure, and high-quality software solutions across backend and frontend components. This role collaborates closely with cross-functional teams to deliver reliable applications, support cloud deployment, and continuously improve performance, quality, and operational stability.</p><p>Responsibilities:</p><ul><li>Design, develop, and maintain scalable software solutions across backend and frontend components.</li><li>Build and consume APIs and services using modern programming languages and frameworks.</li><li>Collaborate with product managers, designers, and engineers to translate requirements into technical solutions.</li><li>Write clean, maintainable, and well-tested code following engineering best practices.</li><li>Optimize application performance, security, and reliability.</li><li>Participate in code reviews, testing, and continuous improvement initiatives.</li><li>Support deployment, monitoring, and troubleshooting of applications in cloud environments.</li><li>Contribute to documentation, technical standards, and knowledge sharing within the team.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent experience). 4+ years of experience in software development (frontend, backend, or full stack). Outstanding English communication, both verbal and non-verbal. Proficiency in at least one backend language (e.g., Python, TypeScript, Go) and modern frontend frameworks. Experience with RESTful APIs and database technologies (SQL and/or NoSQL). Familiarity with cloud platforms (Azure or AWS) and CI/CD pipelines. Understanding of version control systems (Git) and collaborative development workflows. Knowledge of testing practices, software design principles, and security fundamentals. Strong problem-solving skills, communication abilities, and a collaborative mindset. Fluency in English is a must.</p><p></p></section>

Job Summary We are seeking a Network Engineer to support SD-WAN and network security initiatives, including assisting with migrations from Cisco SD-WAN environments to Palo Alto solutions. This role will focus on implementation support, configuration, troubleshooting, and day-to-day network operations in collaboration with senior engineers and cross-functional teams. Responsibilities Assist with the migration of Cisco Viptela or Cisco Meraki SD-WAN environments to Palo Alto solutions. Configure, monitor, and maintain network and security devices. Support network troubleshooting and resolve connectivity or performance issues. Work with internal teams to ensure smooth deployment and implementation activities. Assist in maintaining network documentation, configurations, and diagrams. Monitor network performance and escalate complex issues when needed. Support security and compliance best practices across the network environment. Participate in after-hours maintenance windows when required. Qualifications2–4 years of experience in network engineering or network support roles. Hands-on experience with at least some of the following technologies:Cisco Meraki Cisco SD-WAN/Viptela Basic wireless networking Understanding of routing, switching, TCP/IP, and network troubleshooting. Familiarity with network security concepts and firewall policies. Ability to follow implementation plans and work collaboratively with senior engineers. Good communication and documentation skills. Associate-level certifications such as CCNA, PCNSA, or equivalent are a plus, but not required. Preferred Skills Experience supporting SD-WAN environments. Exposure to cloud networking or SASE solutions. Experience working in enterprise or MSP environments.

Platform Engineer – CI/CD Gate & Online Evaluation<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. As part of its transformation journey, the company is introducing a portfolio of Reduced-Risk Products (RRPs) for more than one billion consumers worldwide. Intellia supports the customer by engineering a comprehensive software ecosystem powering innovative IoT products, digital experiences, and enterprise platforms. Our teams build core platform components for e Commerce, Digital Marketing, IoT, and Digital Engineering solutions. As a Platform Engineer – CI/CD Gate & Online Evaluation, you will join the Core Architecture Team and play a key role in enabling reliable, scalable, and governed AI deployments by integrating automated quality evaluation into enterprise CI/CD pipelines and production environments. The platform consists of shared services and applications that accelerate software delivery by addressing common SDLC challenges while providing engineering teams with standardized technologies, best practices, governance, and compliance capabilities.<br>About the Role We are looking for a Platform Engineer – CI/CD Gate & Online Evaluation to help establish automated quality controls for enterprise AI platforms and agent-based systems. In this role, you will integrate evaluation workflows into deployment pipelines, configure online quality monitoring, and build operational visibility for AI performance, reliability, and compliance. Working closely with Platform Engineers, Dev Ops Engineers, AI Engineers, and Governance teams, you will ensure AI agents meet quality standards before deployment and continue to perform reliably in production.<br>Responsibilities Design and implement CI/CD quality gates using AWS Agent Core Evaluation to validate AI agents and workflows before deployment. Integrate evaluation execution into Git Hub Actions and deployment pipelines to automate release decisions. Configure and maintain on-demand evaluation workflows for pre-release quality validation and regression detection. Implement and manage online evaluation capabilities, including production sampling strategies and evaluation scheduling. Build Amazon Cloud Watch dashboards to visualize evaluation scores, quality trends, and AI agent performance over time. Configure Cloud Watch alarms and notifications to detect quality degradation, performance regressions, and operational issues. Collaborate with AI Engineering teams to define evaluation thresholds, release criteria, and quality acceptance standards. Integrate evaluation results into enterprise monitoring, observability, and operational reporting workflows. Analyze evaluation outcomes to identify regressions across AI agent versions, prompts, tools, and workflows. Develop automation that enables continuous validation of AI systems throughout the software development lifecycle. Partner with Platform Engineering and Dev Ops teams to improve deployment safety, operational readiness, and governance controls for AI workloads. Contribute to enterprise AI quality engineering standards, deployment best practices, and monitoring frameworks.<br>Requirements Experience Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.4+ years of experience in Platform Engineering, Dev Ops Engineering, Site Reliability Engineering (SRE), or Cloud Engineering. Hands-on experience designing and maintaining CI/CD pipelines. Experience implementing deployment quality gates and release automation. Experience designing Cloud Watch dashboards, alarms, and monitoring solutions. Experience working with AWS cloud services in production environments. Technical Skills AWS Agent Core Evaluation API (Create Evaluation) for on-demand evaluation workflows. Git Hub Actions integration for automated deployment pipelines. CI/CD pipeline automation and release orchestration. Online evaluation configuration, including production sampling strategies. Amazon Cloud Watch dashboards, metrics, alarms, and monitoring. Quality gate implementation and automated deployment validation. Observability and operational monitoring. Regression detection and release validation. Infrastructure automation and scripting. Git version control and modern Dev Ops practices.<br>Nice to Have Experience with AWS Agent Core Evaluation online mode and sampling configuration. Experience comparing AWS Agent Core Runtime versions using automated evaluation for regression detection. Experience with Cloud Watch Embedded Metric Format (EMF) for structured evaluation metrics. Familiarity with enterprise AI governance and Responsible AI practices. Experience supporting AI platforms, LLM applications, or agent-based systems. Knowledge of Infrastructure as Code (Terraform, AWS Cloud Formation, or AWS CDK).<br>Why Join Us? Help build enterprise-scale AI quality engineering and deployment standards. Work with cutting-edge AI platforms, cloud-native technologies, and Dev Ops automation. Design automated quality gates that improve the reliability and safety of AI systems. Collaborate with highly skilled Platform, AI, Dev Ops, and Cloud Engineering teams. Make a direct impact on the delivery of enterprise AI solutions used at global scale.

Senior Python Engineer – Multi-Agent AI (AWS, Lang Graph)<br>About the Role We are looking for a Senior Python Engineer to design and build enterprise-grade multi-agent AI systems on AWS. In this role, you will architect and develop intelligent agent solutions using Lang Graph, Lang Chain, and AWS Bedrock Agent Core Runtime, focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration. You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Senior Python Engineer, you will join the Core Architecture Team, contributing to the design and implementation of a modern Digital Engineering Enterprise Platform. The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.<br>Responsibilities Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, Lang Graph, and Lang Chain. Build scalable agent workflows leveraging AWS Bedrock Agent Core Runtime. Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures. Design stateful workflow execution using Lang Graph checkpointing, recovery, and persistence mechanisms. Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows. Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows. Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication. Implement memory, context management, and persistence strategies for AI agents. Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments. Collaborate with platform, security, Dev Ops, and product teams to deliver production-ready AI solutions. Define engineering standards, testing strategies, and operational best practices for agent-based applications. Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS. Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional Python software engineering experience. Hands-on experience building multi-step agent workflows with Lang Graph. Strong experience with Lang Chain. Experience with AWS Bedrock Agent Core Runtime. Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures. Experience implementing Lang Graph checkpointing and state management. Knowledge of Human-in-the-Loop (HITL) workflow design. Experience with Agent-to-Agent (A2A) delegation through Agent Gateway. Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar. Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery. Experience building scalable, cloud-native applications on AWS. Strong problem-solving, communication, and collaboration skills.<br>Nice to Have Experience evaluating AWS Agent Core Runtime maturity and enterprise adoption. Hands-on experience with AWS Bedrock Memory API. Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems. Experience with AI observability, monitoring, and production operations. Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.<br>Why Join UsWork on enterprise-scale AI initiatives for a global industry leader. Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies. Influence architecture decisions and engineering best practices across large-scale platforms. Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions. Opportunity to shape the future of enterprise AI orchestration in production environments.

Software Development Engineer in Test (SDET) – Web, Mobile & AI-Assisted Quality Engineering<br>About the Role We are seeking a highly skilled Software Development Engineer in Test (SDET) to help evolve and scale quality engineering practices for a large-scale photo and media hosting platform across web and mobile applications. Our team is transitioning toward a modern, automation-first and AI-assisted quality engineering model while maintaining the flexibility to perform hands-on manual testing when required. This role combines strong software engineering expertise with practical quality assurance experience and offers the opportunity to influence the future of testing through automation, AI-assisted workflows, and quality engineering best practices. The ideal candidate is passionate about software quality, comfortable building and maintaining test automation frameworks, experienced with modern web and mobile technologies, and capable of leveraging AI tools to accelerate testing activities while ensuring reliability and accuracy.<br>Project Overview The project focuses on enhancing and scaling engineering processes for a leading photo and media hosting platform across web and mobile applications. You will work closely with software engineers, product managers, and QA stakeholders to improve product quality, automation coverage, release confidence, and AI-assisted testing workflows.<br>Key Responsibilities Design, develop, and maintain scalable automated test frameworks and infrastructure. Build and maintain automated test suites for web, mobile, API, and end-to-end user workflows. Develop and expand mobile automation coverage using Maestro. Create and maintain web automation suites using modern automation tools such as Playwright and Meticulous. Support AI-assisted test authoring workflows, including prompt engineering and agent skill maintenance. Review, validate, troubleshoot, and optimize AI-generated test cases and automation outputs. Perform exploratory, regression, release, and manual testing activities when necessary. Collaborate with developers to improve application testability and automation coverage. Integrate automated testing into CI/CD pipelines and release processes. Investigate, diagnose, and resolve issues across application, infrastructure, and automation layers. Contribute to quality engineering standards, automation best practices, and continuous process improvements. Partner closely with software engineers, product managers, and QA stakeholders to drive product quality initiatives.<br>Required Qualifications Strong experience with Type Script. Strong software engineering and coding skills. Proven ability to design, develop, and maintain automation frameworks independently. Experience testing modern web applications and React Native mobile applications. Hands-on experience with web automation tools such as Playwright and/or Meticulous. Experience with mobile automation tools, including Maestro. Experience using AI-assisted development and testing tools such as Git Hub Copilot, Claude, or similar platforms. Ability to review, validate, troubleshoot, and improve AI-generated test artifacts. Understanding of prompt engineering, agent-based workflows, and AI-assisted testing methodologies. Hands-on experience with manual QA, exploratory testing, and regression testing. Strong understanding of software testing methodologies, SDLC, and quality engineering principles. Experience testing APIs and backend integrations. Experience working with CI/CD platforms such as Git Hub Actions, Jenkins, Circle CI, or similar tools. Strong knowledge of Git and modern software development workflows. Excellent debugging, analytical, and problem-solving skills. Experience working within Agile development environments.<br>Preferred Qualifications Experience building automation frameworks from the ground up. Experience testing native Android and i OS applications. Hands-on experience with Appium, Detox, or advanced Playwright implementations. Knowledge of test architecture, automation design patterns, and quality engineering best practices. Experience implementing AI-assisted QA workflows within engineering organizations. Previous experience in SDET, Automation QA Engineer, or Quality Engineering roles. Experience working in large-scale consumer-facing platforms or Saa S products.<br>Why Join Us? Work on a large-scale photo and media hosting platform used by a global audience. Help shape the future of AI-assisted quality engineering and test automation. Influence automation strategy across both web and mobile ecosystems. Collaborate with experienced engineers in a modern, quality-focused environment. Contribute to innovative testing practices that improve release confidence, product quality, and engineering efficiency. Opportunity to work with cutting-edge automation frameworks, AI tools, and modern development practices.

<h2 class="h5">وصف الوظيفة</h2> <div class="t-break" data-jb-field="description"> <span>كل منتج رائع مبني على الجودة—وكل إصدار استثنائي يبدأ بشخص ي refuse to let the details slip. <br> If you thrive on uncovering edge cases, validating complex user journeys, and ensuring software performs exactly as intended, this opportunity was designed for you.<br> Our client, an innovative SaaS company, is looking for a QA Engineer to take ownership of quality assurance for a key web-based platform during an exciting project-based engagement.<br> This is a remote, one-time contract offering the opportunity to make a tangible impact on a live product, with the potential for future collaborations based on performance and upcoming projects.<br> Why This Opportunity Matters Quality isn't the final step in development; it's what defines the user experience.<br> As the QA Engineer on this project, you'll play a critical role in ensuring that every feature released meets the highest standards of functionality, reliability, and usability.<br> You'll work across complete product workflows, validating both customer-facing and administrative experiences while partnering closely with Product and Engineering teams to deliver confident, high-quality releases.<br> Your work will directly influence product stability, customer satisfaction, and the overall success of the platform.<br> About Our Client Our client is a growing SaaS organization focused on building reliable, user-centric AI solutions.<br> They believe exceptional AI products are created through close collaboration, continuous improvement, and a strong commitment to quality at every stage of development.<br> Working alongside a collaborative product and engineering team, you'll contribute to meaningful product releases while helping shape a seamless experience for end users.<br> What's In It For You The opportunity to own quality assurance for a meaningful SaaS product.<br> Close collaboration with experienced Product and Engineering teams.<br> Exposure to complex user workflows and modern web application testing.<br> A fully remote, project-based engagement offering flexibility and meaningful technical impact.<br> The possibility of future project-based collaborations based on your performance and business needs.<br> Engagement Details Position: QA Engineer Industry: SaaS Employment Type: Contract – One-Time Project-Based Engagement Location: Egypt (Remote) Ready to Make Quality Your Signature?<br> If you're passionate about delivering exceptional software experiences, enjoy solving complex testing challenges, and want your work to have a direct impact on product success, we'd love to hear from you.<br> Apply today and help deliver AI Solutions that users can trust from the very first click.<br> What You'll Own As the QA Engineer for this engagement, you'll take ownership of the testing process from planning through release validation.<br> You'll ensure every feature performs as expected while proactively identifying opportunities to improve product quality.<br> In this role, you will: Execute comprehensive end-to-end, functional, regression, and exploratory testing across the platform.<br> Validate complete user journeys spanning both customer-facing and administrative experiences.<br> Design and maintain structured test cases, testing checklists, and detailed test scenarios.<br> Identify, reproduce, prioritize, and clearly document software defects with well-defined expected and actual results.<br> Verify bug fixes and perform regression testing to ensure new enhancements don't introduce unintended issues.<br> Collaborate closely with Product Managers, Engineers, and cross-functional stakeholders to clarify requirements and strengthen release quality.<br> Test complex workflows involving multiple user roles, permissions, and business processes.<br> Provide actionable feedback that enhances usability, functionality, and the overall user experience.<br> Help ensure every release meets quality expectations before deployment.<br> What Makes You Successful You'll thrive in this role if you're naturally curious, analytical, and passionate about delivering software that users can trust.<br> We're looking for someone who brings: 2–4 years of hands-on experience in Software Quality Assurance, primarily within web applications.<br> Strong expertise in end-to-end, functional, regression, and exploratory testing methodologies.<br> The ability to create clear, structured test scenarios, comprehensive test cases, and detailed bug reports.<br> Exceptional attention to detail with a methodical approach to problem-solving.<br> Experience testing platforms that include multiple workflows, user roles, permissions, and interconnected features.<br> Confidence evaluating both individual features and complete business processes from an end-user perspective.<br> Familiarity with API testing and a solid understanding of backend systems and integrations.<br> Strong communication skills and the ability to collaborate effectively within cross-functional Agile teams.<br> Experience working in fast-paced product environments where quality and speed go hand in hand.<br> You'll stand out even further if you have experience with tools such as Jira, TestRail, Azure DevOps, or similar testing platforms, along with exposure to browser developer tools, REST APIs, or automation testing frameworks.<br></span> </div>

Senior Machine Learning Engineer (Generative AI)<br>About the Role We are looking for a Senior Machine Learning Engineer to support the development of AI-driven solutions within the Global Digital Marketing team of a leading agricultural company. In this role, you will design and implement intelligent applications powered by Generative AI, Large Language Models (LLMs), and AI agents, helping to automate business processes and enhance digital marketing capabilities. You will collaborate with cross-functional teams to build scalable AI solutions, integrate enterprise data sources, and deliver production-ready applications using modern AI frameworks and cloud technologies. This is an exciting opportunity to work on innovative AI initiatives that drive business transformation at a global scale.<br>Project Overview Our customer is a global leader in the agricultural industry, committed to driving innovation through digital transformation and advanced AI technologies. The Global Digital Marketing team is building next-generation AI solutions that improve customer engagement, automate business processes, and enable intelligent decision-making across enterprise platforms. As a Senior Machine Learning Engineer, you will play a key role in designing and delivering enterprise-grade Generative AI applications, intelligent agents, and Retrieval-Augmented Generation (RAG) solutions integrated with large-scale enterprise systems.<br>Key Responsibilities Design, develop, and deploy scalable LLM-based intelligent agents and AI-powered applications. Design conversational AI solutions and contribute to solution architecture. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search techniques. Integrate Large Language Models with enterprise data sources and APIs. Develop semantic workflows using frameworks such as Lang Chain, Lang Graph, Semantic Kernel, and Copilot Studio. Automate internal business processes using n8n and AI-powered workflows. Collaborate with Dev Ops, backend engineers, product owners, and business stakeholders to deliver production-ready AI solutions. Optimize prompt engineering strategies, model performance, and AI application quality. Contribute to AI deployment best practices, model evaluation, and continuous improvement initiatives. Support the adoption of modern AI development tools and engineering practices.<br>Required Qualifications Education Bachelor's degree in computer science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Technical Skills Proven experience developing and deploying Generative AI or LLM-based applications. Strong prompt engineering skills using Large Language Models such as:Open AIAzure Open AIClaude LLaMAExperience with AWS AI services, including:Amazon Bedrock Agent Core Hands-on experience with:Lang Chain Lang Graph Similar LLM orchestration frameworks Strong understanding of:Retrieval-Augmented Generation (RAG) Semantic Search Vector Embeddings Vector Databases Experience designing and consuming REST APIs and microservices. English proficiency at B2 level or higher, with the ability to communicate effectively with international stakeholders. Professional Experience Proven experience delivering production-ready AI and Machine Learning solutions. Experience integrating AI applications with enterprise systems and business workflows. Strong software engineering and problem-solving skills. Experience collaborating within Agile development teams.<br>Nice to Have Experience with n8n workflow automation. Semantic Kernel. Microsoft Copilot Studio. Experience supporting Digital Marketing solutions or Mar Tech platforms. SQL proficiency. Experience using AI-assisted development tools such as:Claude Code Git Hub Copilot Similar AI coding assistants Experience with MLOps or AI deployment pipelines.<br>Why Join Us? Join a global team delivering innovative AI solutions for one of the world's leading agricultural companies. Work with cutting-edge Generative AI technologies, intelligent agents, and enterprise-scale AI platforms. Collaborate with experienced AI engineers, architects, and business stakeholders on impactful digital transformation initiatives. Gain hands-on experience building production-ready AI systems using the latest cloud and LLM technologies. Enjoy excellent opportunities for professional growth while expanding your expertise in Machine Learning, MLOps, and enterprise AI engineering.

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>Talent 360 تبحث عن "مهندس بيانات بنية وتعلم آلي وكبير ذكي” للانضمام إلى فريقها المتنامي! إذا كنت شغوفاً بالذكاء الاصطناعي ومنصات البيانات الحديثة وبناء حلول بيانات قابلة للتوسع، فهذه فرصة ممتازة لتطوير مسيرتك المهنية في بيئة ديناميكية وتعاونية. كمهندس ذكاء اصطناعي وبنية بيانات رفيع المستوى، ستكون مسؤولاً عن تصميم وتطوير وتحسين حلول البيانات المدعومة بالذكاء الاصطناعي وهندArchitect بنية البيانات. ستبني وتدير خطوط أنابيب بيانات قابلة للتوسع، وتدمج قدرات الذكاء الاصطناعي والتعلم الآلي في منصات البيانات المؤسسية، وتتعاون مع فرق متعددة الوظائف لتقديم حلول آمنة عالية الأداء ومبنية على البيانات تدعم مبادرات الأعمال والتحليلات.</p><p>قيادة الاكتشاف الفني وتقييمات نضج البيانات مع عملاء المؤسسة عبر المملكة العربية السعودية ومصر</p><p>تصميم وتقديم بنى منصات البيانات باستخدام الأدوات الحديثة (Microsoft Fabric، خدمات Azure للبيانات، OpenMetadata، SQLMesh)</p><p>إنشاء حالات عمل مقنعة تربط حوكمة البيانات وقدرات الذكاء الاصطناعي بنتائج أعمال قابلة للقياس</p><p>تطوير مقترحات تقنية، وهندسات حلول، ونماذج التسعير ل engagements البيانات والذكاء الاصطناعي</p><p>تقديم عروض توضيحية لمسارات عمل وكيل الذكاء الاصطناعي، والتشغيل الآلي الوكيل، وأنماط الوصول إلى البيانات الحوارية</p><p>دعم حركات البيع المشتركة من مايكروسوفت لـ Azure AI، Microsoft Fabric، وفرص Copilot</p><p>التعاون مع مطور المنتج لمواءمة عروض ما قبل البيع مع قدرات المنتج الحالية</p><p>المساهمة في محتوى القيادة الفكرية: الورقات البيضاء، ودراسات الحالة، والمدونات التقنية</p><p>متابعة المشهد التنافسي عبر حوكمة البيانات ومنصات الذكاء الاصطناعي (Informatica، Collibra، Databricks، Coalesce)</p></div></section><section><p class="heading">المرشح Desired Profile</p><p class="paragraph"></p><ul><li>3-5 سنوات خبرة في هندسة البيانات، هندسة البيانات المعمارية، أو ما قبل البيع للذكاء الاصطناعي/التعلم الآلي</li><li>فهم لمكدس البيانات الحديث: مخازن البيانات، بحيرات البيانات، خطوط ETL/ELT، حوكمة البيانات</li><li>الاطلاع على خدمات البيانات (Azure Data Factory، Synapse، Microsoft Fabric، Purview أو ما يماثله)</li><li>الاطلاع على مفاهيم الذكاء الاصطناعي/التعلم الآلي وتطبيقاتها العملية في بيئات الشركات</li><li>خبرة في إنشاء مخططات هندسة البيانات والوثائق التقنية</li><li>مهارات عرض وت storytelling ممتازة، القادرة على ترجمة المفاهيم التقنية لجمهور تنفيذي</li><li>إتقان اللغة الإنجليزية والعربية</li></ul><p></p></section>

Senior Python Backend Engineer (AWS Agent Core, Multi-Agent Integration)<br>About the Role We are looking for a Senior Python Backend Engineer to design, build, and integrate backend services that enable secure and scalable agent-to-agent (A2A) communication on AWS Agent Core platforms. In this role, you will develop high-performance backend services, implement modern communication protocols, and build the infrastructure that powers intelligent multi-agent ecosystems. The ideal candidate has strong Python backend engineering experience, expertise in asynchronous and event-driven architectures, and hands-on knowledge of API design, distributed systems, and modern agent integration patterns.<br>Project Overview Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide. Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. Our engineering teams develop core platform components powering best-in-class e Commerce, Digital Marketing, and IoT solutions. As a Senior Python Backend Engineer, you will become part of the Core Architecture Team, contributing to the development of a modern Digital Engineering Enterprise Platform. The platform provides engineering teams with reusable services, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.<br>Responsibilities Design, develop, and maintain backend services using Python and the AWS Agent Core SDK. Build and integrate Agent-to-Agent (A2A) communication using AWS Agent Core Runtime and Gateway. Implement agent registration, discovery, target configuration, and lifecycle management. Develop and maintain Agent Card definitions and .well-known/agent.json endpoints. Implement A2A communication protocols using JSON-RPC 2.0 and event-driven architectures. Design and support communication workflows between caller and target agents. Develop asynchronous communication using Server-Sent Events (SSE), webhooks, and push notifications. Build scalable REST APIs and backend services that enable secure and reliable agent interaction. Implement event lifecycle management, task status tracking, and execution monitoring. Ensure high availability, scalability, security, and performance across distributed backend services. Collaborate with AI, platform, Dev Ops, and security teams to support enterprise multi-agent integration. Troubleshoot, test, monitor, and optimize backend services in production environments. Produce technical documentation, API specifications, and integration standards for agent connectivity.<br>Requirements Bachelor's degree in computer science, Software Engineering, or a related field.5+ years of professional backend development experience using Python or Go. Strong experience developing asynchronous backend applications using Python. Experience designing and implementing REST APIs, including endpoint development and API routing. Experience with AWS Agent Core Runtime, Agent Core Gateway, or similar agent integration platforms. Experience implementing Agent-to-Agent (A2A) communication patterns. Knowledge of JSON-RPC 2.0, Server-Sent Events (SSE), webhooks, and event-driven architectures. Experience developing Agent Card JSON schemas and implementing .well-known/agent.json endpoints. Strong understanding of microservices, distributed systems, and backend integration patterns. Excellent problem-solving, communication, and collaboration skills.<br>Nice to Have Experience validating AWS Agent Core Gateway template integrations. Experience with AWS Bedrock multi-agent invocation patterns. Hands-on experience implementing SSE task lifecycle events and push notification workflows. Experience with Open Telemetry and distributed tracing using AWS Distro for Open Telemetry (ADOT). Familiarity with observability, monitoring, CI/CD pipelines, and cloud-native backend architectures.<br>Why Join UsBuild the backend infrastructure powering next-generation enterprise AI and multi-agent systems. Work with cutting-edge AWS Agent Core technologies and modern distributed architectures. Collaborate with experienced AI, platform, and cloud engineering teams on global-scale solutions. Contribute to engineering standards, integration frameworks, and best practices for enterprise AI platforms. Play a key role in shaping scalable, secure, and production-ready agent communication services.

Egybell is hiring a Junior Sales Engineer for a Leading consultations company located in 6th of October / Sadat city <br>Duties & responsibilities:<br>Identify and develop new business opportunities. Build and maintain strong relationships with clients and consultants. Understand customer requirements and recommend suitable technical solutions. Prepare technical and commercial proposals, quotations, and tender documents. Conduct product presentations and technical demonstrations. Negotiate pricing and contract terms with customers. Coordinate with engineering and operations teams to ensure successful project execution. Follow up on sales leads and maintain an active sales pipeline. Achieve assigned sales targets and business objectives. Provide pre-sales and post-sales technical support. Monitor market trends, competitor activities, and customer feedback. Prepare regular sales reports and forecasts. Ensure customer satisfaction and maintain long-term client relationships. Attend meetings, exhibitions, and industry events as required. Comply with company policies and quality standards.<br>Job requirements: From 6 Months to 2 years of experience (Industry background), however, fresh applicants are welcome. A bachelor’s degree in Engineering is preferred.

Egybell is hiring a Sales Engineer for a Leading engineering and management consulting firm specializing in advanced industrial solutions, plant optimization, and turnkey construction services.<br>Location: 10th Ramadan & Badr City.<br>Duties & responsibilities:<br>Identify and develop new business opportunities. Build and maintain strong relationships with clients and consultants. Understand customer requirements and recommend suitable technical solutions. Prepare technical and commercial proposals, quotations, and tender documents. Conduct product presentations and technical demonstrations. Negotiate pricing and contract terms with customers. Coordinate with engineering and operations teams to ensure successful project execution. Follow up on sales leads and maintain an active sales pipeline. Achieve assigned sales targets and business objectives. Provide pre-sales and post-sales technical support. Monitor market trends, competitor activities, and customer feedback. Prepare regular sales reports and forecasts. Ensure customer satisfaction and maintain long-term client relationships. Attend meetings, exhibitions, and industry events as required. Comply with company policies and quality standards.<br>Job requirements: Bachelor’s degree in engineering is preferred. Min 2 years of experience (Construction & engineering background). Fresh applicants are welcome to apply.

Location: Fifth Settlement / Sheikh Zayed Experience: 5–8 years<br>We are looking for a Senior Technical Office Engineer with an architectural background and solid experience in finishing and fit-out projects.<br>Responsibilities:<br>* Prepare, review, and coordinate architectural shop drawings.* Coordinate drawings with site teams and other disciplines.* Review drawings, specifications, BOQs, and project requirements.* Prepare quantity take-offs and material submittals.* Handle RFIs, technical clarifications, and drawing revisions.* Coordinate with consultants, subcontractors, and suppliers.* Support the site team in resolving technical issues.* Prepare and maintain as-built drawings and technical documentation.* Review quantities and supporting documents for invoices and payment applications.* Assist with variations and additional works when required.<br>Requirements:<br>* Bachelor’s degree in Architecture.* 5–8 years of relevant experience in technical office work, preferably in finishing/fit-out.* Very good knowledge of Auto CAD.* Good understanding of construction drawings and architectural details.* Experience with shop drawings, quantity take-offs, material submittals, and invoicing documentation.* Good communication and coordination skills.

We are looking for an experienced Senior ELV Pre-Commissioning & Commissioning Engineer to join our team.<br>Key Responsibilities:<br>•⁠ ⁠Perform pre-commissioning inspections and system readiness checks.•⁠ ⁠Commission, configure, test, and troubleshoot ELV systems, including CCTV, Access Control, PAVA, Intrusion, Intercom, Structured Cabling, and System Integration.•⁠ ⁠Conduct integrated system testing (IST), witness testing, and project handover.•⁠ ⁠Prepare commissioning documentation, test reports, O&M manuals, and as-built drawings.•⁠ ⁠Coordinate with clients, consultants, subcontractors, and project teams to ensure successful project delivery.<br>Requirements:<br>•⁠ ⁠Bachelor's degree in Electrical, Electronics, or Computer Engineering.•⁠ ⁠7+ years of experience in ELV commissioning.•⁠ ⁠Strong networking knowledge (TCP/IP, VLANs, Layer 2/Layer 3 Switching, Routing, Fibre Optics, Network Troubleshooting).•⁠ ⁠Experience with IP-based security systems and major ELV platforms.•⁠ ⁠Excellent troubleshooting, communication, and documentation skills.<br>If you meet the above qualifications and are ready to work on challenging, large-scale projects, we'd love to hear from you. Please upload your CV as a PDF only*

Samcon Construction is looking for a highly experienced Senior Planning Engineer to join our growing team. If you have a strong background in civil engineering project planning and a proven track record managing complex projects, we want to hear from you.<br>Key Responsibilities:Develop master plans and work programs for projects and follow up on their implementation. Monitor project progress and update baseline programs and critical path analysis. Prepare periodic reports including monthly, weekly, and progress reports, as well as final project reports. Track and follow up on project contracts and subcontracts. Prepare and document meeting minutes. Support cost management, quality control, and compliance with project specifications.<br>Requirements:Bachelor's degree in civil engineering or construction management10–12 years of relevant experience in project planning English (Fluent)<br>Technical Skills:Primavera P6MS Office Auto CADProject Scheduling Critical Path Method Progress Reporting Cost Control<br>Details:Location: El-Sheikh Zayed City Working hours: from 9:00 AM to 5:00 PMDays off: Friday<br>You can share your updated CV to cvs@samconeg.com

Egybell is hiring a Sales Engineer for a Leading engineering and management consulting firm specializing in advanced industrial solutions, plant optimization, and turnkey construction services.<br>Location: 10th Ramadan & Badr City.<br>Duties & responsibilities:<br>Identify and develop new business opportunities. Build and maintain strong relationships with clients and consultants. Understand customer requirements and recommend suitable technical solutions. Prepare technical and commercial proposals, quotations, and tender documents. Conduct product presentations and technical demonstrations. Negotiate pricing and contract terms with customers. Coordinate with engineering and operations teams to ensure successful project execution. Follow up on sales leads and maintain an active sales pipeline. Achieve assigned sales targets and business objectives. Provide pre-sales and post-sales technical support. Monitor market trends, competitor activities, and customer feedback. Prepare regular sales reports and forecasts. Ensure customer satisfaction and maintain long-term client relationships. Attend meetings, exhibitions, and industry events as required. Comply with company policies and quality standards.<br>Job requirements: Bachelor’s degree in engineering is preferred. Min 2 years of experience (Construction & engineering background). Fresh applicants are welcome to apply.