Areeb jobs
6 Jobs Found
Areeb
Egypt - Cairo
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p><span><span>-<span> - </span></span></span><b>Enterprise Core
Development: </b>Design, develop, and maintain high-throughput,
mission-critical backend solutions using C#, ASP.NET Core, and modern .NET
run times (.NET 8/9/10).<br></p><br><b>- Specification-Driven
Development (SDD): </b>Author, review, and rigorously adhere to
OpenAPI/AsyncAPI contracts and technical specifications before system
implementation begins.<br><br><b>- Integration & API
Architecture: </b>Design robust RESTful APIs, gRPC services, and messaging
layers to seamlessly connect modern platforms with legacy systems, databases,
and third-party APIs.<br><br><b>- Architectural Patterns: </b>Apply
Clean Architecture, Domain-Driven Design (DDD), Modular Monoliths, and Event-Driven/Microservice
architectures where appropriate.<br><br><b>- Resilient Distributed
Systems: </b>Implement fault-tolerant distributed solutions leveraging
asynchronous message handling, distributed caching, circuit breakers, and retry
policies.<br><br><b>- Code Quality &
Mentorship: </b>Conduct rigorous technical reviews, enforce engineering
standards, and actively mentor mid-level and junior developers<br><br><b>- AI-Augmented Workflows: </b>Champion
AI-assisted engineering using GitHub Copilot, Cursor, Claude, and specialized
AI coding agents to accelerate delivery velocity without sacrificing quality.<br><br><b>- Quality & Security
Governance: </b>Ensure all authored and AI-assisted code meets strict
benchmarks for security, performance, maintainability, and test coverage.<br><br><b>- Telemetry &
Observability: </b>Instrument systems from the ground up with structured
logging, distributed tracing, and metrics for end-to-end visibility.<br><br><p><span><span>-<span> - </span></span></span><b>Team Growth: </b>Participate
in technical interviews and contribute directly to elevating technical
standards across the engineering team.<br></p><br><br><span>Requirements- <b>Core .NET Mastery:</b> 5+ years of professional backend software development experience with expert-level <br><br>proficiency in C#, ASP.NET Core, and contemporary .NET runtimes.<br><br>- <b>Specification & Contract-First Design:</b> Proven expertise with API-first and Specification-Driven <br><br>Development (OpenAPI/Swagger, contract testing, schema-first design).<br><br>- <b>ORM & Data Access:</b> In-depth working knowledge of Entity Framework Core (EF Core), Dapper, complex <br><br>LINQ queries, raw SQL optimization, and migration workflows across SQL Server and/or PostgreSQL.<br><br>- <b>Design Principles & Architecture:</b> Thorough command of Clean Code, SOLID design principles, GoF design <br><br>patterns, DDD fundamentals, and distributed system concepts (eventual consistency, idempotent consumers).<br><br>- <b>Automated Testing:</b> Practical experience designing test suites using xUnit or NUnit, mocking frameworks, <br><br>and containerized testing harnesses (e.g., Testcontainers).<br><br>- <b>Security & Compliance:</b> <br><br></span><ul><li><span>Comprehensive implementation of authentication and authorization protocols (OAuth2, OpenID Connect, </span>JWT, RBAC/PBAC).<br></li><li>Proactive API security hardening, input validation, and defensive mitigation against OWASP Top 10 vulnerabilities.<br></li><li>Secure secrets handling and data protection in transit (TLS) and at rest.<br></li></ul>- <b>Observability & SRE Baseline:</b> <br><br><ul><li><span>Structured logging architecture (e.g., Serilog) with correlation and trace identifiers.<br></span></li><li><span>Distributed telemetry collection using OpenTelemetry standards.<br></span></li><li><span>Implementation of application health checks, Prometheus/Grafana metrics instrumentation, and APM diagnostic workflows.</span><br></li></ul><span>-</span><b>Legacy & Enterprise Integrations:</b> Practical experience integrating with legacy workloads, SOAP/XML <br><br>services, enterprise service buses, and background workers.<br><br>-<b> DevOps & Containerization:</b> Hands-on containerization with Docker, Git-based branching workflows, and <br><br>automated CI/CD pipelines.<br><br><b><span>PREFERRED QUALIFICATIONS & TECH RADAR</span></b><br><br>- <b>High-Performance & Runtimes: </b>Exposure to .NET Aspire, Native AOT compilation, and high-performance, low-allocation C# programming<br><br>- <b>Distributed Messaging & Caching: </b>Hands-on experience with RabbitMQ, Apache Kafka, and distributed in-memory caching solutions using Redis.<br><br>- <b>AI & Agent Workflows: </b>Familiarity with Model Context Protocol (MCP), prompt engineering, or autonomous AI coding agent workflows in IDEs.<br><br>- <b>Infrastructure Awareness:</b> Basic familiarity with containerized deployments on container platforms or cloud environments (e.g., Google Cloud, Huawei Cloud, or Kubernetes) is a plus (cloud vendor exp is not mandatory).<br><br><br><span>Benefits- Family Medical & Life insurance <br><br>- GYM Benefit<br><br>- Schooling Allowance <br></span><br> </div>
Areeb
Egypt - Cairo
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span></span><p>As a <b>Senior AI Engineer</b>, you will drive the
development of our core AI capabilities. Your role is highly strategic: you
will architect a scalable, internal AI framework that combines <b>Predictive AI</b> (forecasting, behavioral analytics) and <b>Agentic AI</b> (autonomous
multi-agent workflows), while simultaneously adapting and deploying these
capabilities to solve complex problems for our <b>enterprise clients</b>. You
will bridge the gap between long-term product engineering and high-impact
client delivery.<br></p><br><p><b>Core Responsibilities</b><br></p><br><ul><li><b>Core Product & Client Delivery:</b> Architect a modular internal AI framework while actively adapting it to deliver high-performance, domain-agnostic solutions for various clients.<br></li><li><b>Build Agentic Frameworks:</b> Design and deploy autonomous multi-agent systems capable of multi-step reasoning, tool-use orchestration, and cross-domain automation.<br></li><li><b>Develop Predictive Pipelines:</b> Train and productionize predictive models for forecasting, anomaly detection, and risk assessment across diverse datasets.<br></li><li><b>Scalable Production & MLOps:</b> Containerize models into scalable microservices and establish robust MLOps pipelines to monitor both client-facing deployments and internal systems.<br></li><li><b>Client Consultation & Integration:</b> Collaborate with client technical teams to understand their infrastructure, integrate AI components smoothly, and define clear APIs.<br></li><li><b>Guardrails & Evaluation:</b> Implement testing frameworks to measure predictive accuracy, evaluate agent safety, and optimize token/compute costs for both the company and clients.<br></li></ul><br><span>Requirements</span><ul><li><b>Programming:</b> Expert-level <b>Python</b> (writing clean, highly modular, asynchronous, and test-driven production code).<br></li><li><b>Agentic Ecosystem:</b> Deep experience with multi-agent orchestration tools such as <b>LangGraph</b>, <b>CrewAI</b>, or <b>AutoGen</b>.<br></li><li><b>Predictive Frameworks:</b> Strong command of <b>Scikit-learn</b>, <b>XGBoost</b>, <b>LightGBM</b>, and deep learning libraries (PyTorch/TensorFlow).<br></li><li><b>Data & Architecture:</b> Deep understanding of relational databases and vector databases (e.g., <b>Qdrant</b>, <b>Pinecone</b>, <b>Milvus</b>) optimized for multi-tenant or multi-client security boundaries.<br></li><li><b>Cloud & DevOps:</b> Experience deploying cloud-native AI services on <b>AWS</b>, <b>Azure</b>, or <b>GCP</b> using <b>Docker</b> and <b>Kubernetes</b>.<br></li></ul><p><b>Qualifications & Experience</b><br></p><br><ul><li><b>Experience:</b> <b>5+ years</b> in Software Engineering or Data Science, with at least <b>2+ years</b> shipping production-grade AI systems.<br></li><li><b>Hybrid Mindset:</b> Proven experience balancing a product engineering mindset (reusability, clean architecture) with a client-facing delivery mindset (deadlines, clear communication, varying environments).<br></li><li><b>Education:</b> Bachelor’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related field.<br></li><li><b>Leadership & Problem Solving:</b> Proven track record of mentoring junior technical talent and driving solutions for complex, ambiguous architectural problems across both product and client environments.<br></li></ul><br><span>BenefitsFamily Medical & Life Insurance <br><br>GYM Benefit <br><br>Schooling Allowance<br></span><br> </div>
Egypt - Cairo
As a Senior AI Engineer, you will drive the development of our core AI capabilities. Your role is highly strategic: you will architect a scalable, internal AI framework that combines Predictive AI (forecasting, behavioral analytics) and Agentic AI (autonomous multi-agent workflows), while simultaneously adapting and deploying these capabilities to solve complex problems for our enterprise clients. You will bridge the gap between long-term product engineering and high-impact client delivery.<br>Core Responsibilities<br> Core Product & Client Delivery: Architect a modular internal AI framework while actively adapting it to deliver high-performance, domain-agnostic solutions for various clients.<br> Build Agentic Frameworks: Design and deploy autonomous multi-agent systems capable of multi-step reasoning, tool-use orchestration, and cross-domain automation.<br> Develop Predictive Pipelines: Train and productionize predictive models for forecasting, anomaly detection, and risk assessment across diverse datasets.<br> Scalable Production & MLOps: Containerize models into scalable microservices and establish robust MLOps pipelines to monitor both client-facing deployments and internal systems.<br> Client Consultation & Integration: Collaborate with client technical teams to understand their infrastructure, integrate AI components smoothly, and define clear APIs.<br> Guardrails & Evaluation: Implement testing frameworks to measure predictive accuracy, evaluate agent safety, and optimize token/compute costs for both the company and clients.<br> <br><br><br>Requirements<br><br> Programming: Expert-level Python (writing clean, highly modular, asynchronous, and test-driven production code).<br> Agentic Ecosystem: Deep experience with multi-agent orchestration tools such as Lang Graph, Crew AI, or Auto Gen.<br> Predictive Frameworks: Strong command of Scikit-learn, XGBoost, Light GBM, and deep learning libraries (PyTorch/Tensor Flow).<br> Data & Architecture: Deep understanding of relational databases and vector databases (e.g., Qdrant, Pinecone, Milvus) optimized for multi-tenant or multi-client security boundaries.<br> Cloud & Dev Ops: Experience deploying cloud-native AI services on AWS, Azure, or GCP using Docker and Kubernetes.<br> Qualifications & Experience<br> Experience: 5+ years in Software Engineering or Data Science, with at least 2+ years shipping production-grade AI systems.<br> Hybrid Mindset: Proven experience balancing a product engineering mindset (reusability, clean architecture) with a client-facing delivery mindset (deadlines, clear communication, varying environments).<br> Education: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related field.<br> Leadership & Problem Solving: Proven track record of mentoring junior technical talent and driving solutions for complex, ambiguous architectural problems across both product and client environments.<br> <br><br><br>Benefits<br><br>Family Medical & Life Insurance <br>GYM Benefit <br>Schooling Allowance<br><br>Skills: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent practical experience).<br>5+ years of professional software development experience, with strong hands-on expertise in PHP for building production-grade backend systems<br>Solid understanding of web application architecture and RESTful API design principles.<br>Experience with relational and/or NoSQL databases and microservices .<br>Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.<br>Knowledge of containerization and orchestration technologies like Docker and Kubernetes.<br>Understanding of software engineering principles, design patterns, and best practices.
Egypt - Cairo
<p>As a Senior AI Engineer , you will drive the development of our core AI capabilities. Your role is highly strategic: you will architect a scalable, internal AI framework that combines Predictive AI (forecasting, behavioral analytics) and Agentic AI (autonomous multi-agent workflows), while simultaneously adapting and deploying these capabilities to solve complex problems for our enterprise clients . You will bridge the gap between long-term product engineering and high-impact client delivery. Core Responsibilities Core Product & Client Delivery: Architect a modular internal AI framework while actively adapting it to deliver high-performance, domain-agnostic solutions for various clients. Build Agentic Frameworks: Design and deploy autonomous multi-agent systems capable of multi-step reasoning, tool-use orchestration, and cross-domain automation. Develop Predictive Pipelines: Train and productionize predictive models for forecasting, anomaly detection, and risk assessment across diverse datasets. Scalable Production & MLOps: Containerize models into scalable microservices and establish robust MLOps pipelines to monitor both client-facing deployments and internal systems. Client Consultation & Integration: Collaborate with client technical teams to understand their infrastructure, integrate AI components smoothly, and define clear APIs. Guardrails & Evaluation: Implement testing frameworks to measure predictive accuracy, evaluate agent safety, and optimize token/compute costs for both the company and clients.</p><p><strong>Desired Candidate Profile</strong></p><h2>Requirements</h2><p><strong>Programming:</strong> Expert-level Python (writing clean, highly modular, asynchronous, and test-driven production code).</p><p><strong>Agentic Ecosystem:</strong> Deep experience with multi-agent orchestration tools such as LangGraph , CrewAI , or AutoGen .</p><p><strong>Predictive Frameworks:</strong> Strong command of Scikit-learn , XGBoost , LightGBM , and deep learning libraries (PyTorch/TensorFlow).</p><p><strong>Data & Architecture:</strong> Deep understanding of relational databases and vector databases (e.g., Qdrant , Pinecone , Milvus ) optimized for multi-tenant or multi-client security boundaries.</p><p><strong>Cloud & DevOps:</strong> Experience deploying cloud-native AI services on AWS , Azure , or GCP using Docker and Kubernetes .</p><h2>Qualifications & Experience</h2><p><strong>Experience:</strong> 5+ years in Software Engineering or Data Science, with at least 2+ years shipping production-grade AI systems.</p><p><strong>Hybrid Mindset:</strong> Proven experience balancing a product engineering mindset (reusability, clean architecture) with a client-facing delivery mindset (deadlines, clear communication, varying environments).</p><p><strong>Education:</strong> Bacheloru2019s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related field.</p><p><strong>Leadership & Problem Solving:</strong> Proven track record of mentoring junior technical talent and driving solutions for complex, ambiguous architectural problems across both product and client environments.</p>
Egypt - Cairo
<p>Enterprise Core Development: Design, develop, and maintain high-throughput, mission-critical backend solutions using C#, ASP.NET Core, and modern .NET run times (.NET 8/9/10). Specification-Driven Development (SDD): Author, review, and rigorously adhere to OpenAPI/AsyncAPI contracts and technical specifications before system implementation begins. Integration & API Architecture: Design robust RESTful APIs, gRPC services, and messaging layers to seamlessly connect modern platforms with legacy systems, databases, and third-party APIs. Architectural Patterns: Apply Clean Architecture, Domain-Driven Design (DDD), Modular Monoliths, and Event-Driven/Microservice architectures where appropriate. Resilient Distributed Systems: Implement fault-tolerant distributed solutions leveraging asynchronous message handling, distributed caching, circuit breakers, and retry policies. Code Quality & Mentorship: Conduct rigorous technical reviews, enforce engineering standards, and actively mentor mid-level and junior developers AI-Augmented Workflows: Champion AI-assisted engineering using GitHub Copilot, Cursor, Claude, and specialized AI coding agents to accelerate delivery velocity without sacrificing quality. Quality & Security Governance: Ensure all authored and AI-assisted code meets strict benchmarks for security, performance, maintainability, and test coverage. Telemetry & Observability: Instrument systems from the ground up with structured logging, distributed tracing, and metrics for end-to-end visibility. Team Growth: Participate in technical interviews and contribute directly to elevating technical standards across the engineering team.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Core .NET Mastery: 5+ years of professional backend software development experience with expert-level proficiency in C#, ASP.NET Core, and contemporary .NET runtimes.</li><li>Specification & Contract-First Design: Proven expertise with API-first and Specification-Driven Development (OpenAPI/Swagger, contract testing, schema-first design).</li><li>ORM & Data Access: In-depth working knowledge of Entity Framework Core (EF Core), Dapper, complex LINQ queries, raw SQL optimization, and migration workflows across SQL Server and/or PostgreSQL.</li><li>Design Principles & Architecture: Thorough command of Clean Code, SOLID design principles, GoF design patterns, DDD fundamentals, and distributed system concepts (eventual consistency, idempotent consumers).</li><li>Automated Testing: Practical experience designing test suites using xUnit or NUnit, mocking frameworks, and containerized testing harnesses (e.g., Testcontainers).</li><li>Security & Compliance: Comprehensive implementation of authentication and authorization protocols (OAuth2, OpenID Connect, JWT, RBAC/PBAC). Proactive API security hardening, input validation, and defensive mitigation against OWASP Top 10 vulnerabilities. Secure secrets handling and data protection in transit (TLS) and at rest.</li><li>Observability & SRE Baseline: Structured logging architecture (e.g., Serilog) with correlation and trace identifiers. Distributed telemetry collection using OpenTelemetry standards. Implementation of application health checks, Prometheus/Grafana metrics instrumentation, and APM diagnostic workflows.</li><li>Legacy & Enterprise Integrations: Practical experience integrating with legacy workloads, SOAP/XML services, enterprise service buses, and background workers.</li><li>DevOps & Containerization: Hands-on containerization with Docker, Git-based branching workflows, and automated CI/CD pipelines.</li><li>PREFERRED QUALIFICATIONS & TECH RADAR: High-Performance & Runtimes: Exposure to .NET Aspire, Native AOT compilation, and high-performance, low-allocation C# programming. Distributed Messaging & Caching: Hands-on experience with RabbitMQ, Apache Kafka, and distributed in-memory caching solutions using Redis. AI & Agent Workflows: Familiarity with Model Context Protocol (MCP), prompt engineering, or autonomous AI coding agent workflows in IDEs. Infrastructure Awareness: Basic familiarity with containerized deployments on container platforms or cloud environments (e.g., Google Cloud, Huawei Cloud, or Kubernetes) is a plus (cloud vendor exp is not mandatory).</li></ul>
AREEB CO FOR DELIVERY CONSUMER ORDERS.
Egypt - Cairo
<p><strong>Job Title:</strong> Remote Operations Supervisor</p><p><strong>Department:</strong> Operations & Supply Chain Management</p><p><strong>Work Model:</strong> 100% Remote</p><p><strong>Job Purpose:</strong></p><p>Manage and monitor the daily performance of drivers and field staff to ensure smooth operations, achieve maximum productivity and compliance, and facilitate seamless financial and administrative flow between the field and management.</p><p><strong>Detailed Responsibilities:</strong></p><p><strong>Attendance & Readiness Management:</strong></p><ul><li><p>Communicate directly via WhatsApp with field staff 30 and 15 minutes prior to shift start to ensure readiness.</p></li><li><p>Escalate tardiness or absence to the direct supervisor 10 minutes before shift start for immediate action.</p></li></ul><p><strong>Performance Supervision & Evaluation:</strong></p><ul><li><p>Continuously supervise workflows to ensure full driver adherence throughout shift hours.</p></li><li><p>Conduct routine performance reviews every 3 hours.</p></li><li><p>Monitor unexplained downtime (1 to 2 hours) and report it immediately to management.</p></li></ul><p><strong>Data Management & Financial Coordination:</strong></p><ul><li><p>Receive end-of-day closure reports (total orders and collected cash).</p></li><li><p>Accurately enter and process data using Microsoft Excel.</p></li><li><p>Submit approved financial and operational reports to the accounting department within set deadlines.</p></li></ul><p><strong>Qualifications & Requirements:</strong></p><ul><li><p><strong>Technical Skills:</strong> Basic to intermediate proficiency in Microsoft Excel and data management principles.</p></li><li><p><strong>Language Skills:</strong> Very good level of spoken and written English.</p></li><li><p><strong>Equipment:</strong> A personal PC/laptop and a reliable, high-speed internet connection.</p></li><li><p><strong>Personal Attributes:</strong> Firmness, strong follow-up abilities, meticulous organization, and the capacity to work under pressure remotely.</p></li></ul><p><strong>Compensation & Benefits:</strong></p><ul><li><p><strong>Base Salary:</strong> EGP 7,500 per month.</p></li><li><p><strong>Incentives:</strong> Quarterly bonus tied to meeting performance standards and full operational compliance.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p><strong>Excel Proficiency:</strong> Ability to accurately enter and compile order data and collected amounts.</p></li><li><p><strong>Digital Communication:</strong> Professional handling of messaging applications (e.g., WhatsApp) for real-time coordination.</p></li><li><p><strong>English Proficiency:</strong> Very good level in spoken and written English to facilitate communication and reporting.</p></li></ul><p><strong>Soft Skills & Behavioral Competencies:</strong></p><ul><li><p><strong>Discipline & Accuracy:</strong> High attention to detail and accurate review of financial and productivity data.</p></li><li><p><strong>Firmness & Rigorous Follow-Up:</strong> Strong time management skills and the ability to hold the field team accountable to schedules.</p></li><li><p><strong>Rapid Escalation:</strong> Proactively reporting issues to management as soon as they occur (e.g., delays or work stoppages).</p></li></ul><p><strong>Work Environment Requirements:</strong></p><ul><li><p><strong>Remote Work Capability:</strong> High self-discipline to work 100% from home.</p></li><li><p><strong>Technical Equipment:</strong> Availability of a personal PC/laptop in good working condition.</p></li><li><p><strong>Network Connectivity:</strong> A strong and stable internet connection throughout shift hours.</p></li></ul><p><strong>Application Requirement</strong></p><ul><li><p>Submission of an updated Resume/CV containing relevant experience and personal details.</p></li></ul><p></p>