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ai engineer (mid-level/senior) Jobs in Cairo Egypt

ai engineer (mid-level/senior)

ai architect

700apps

<div>
 We are looking for a highly skilled
 
 Senior AI Engineer / AI Architect
 
 to lead the design, development, and deployment of scalable AI solutions.
 
 
 In this role, you will combine hands-on model development with high-level system architecture to help shape our AI strategy and deliver production-ready intelligent systems.
 
 
 You will work closely with engineering, product, and leadership teams to transform business needs into powerful AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 AI Architecture &amp; System Design
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms.
 
 
 </li>
 </ul>
 Model Development
 
 
 <ul>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for machine learning workflows.
 </li>
 <li>
 Deploy models to production using containers and cloud services.
 </li>
 <li>
 Implement monitoring, logging, and automated retraining processes.
 </li>
 <li>
 Manage model lifecycle, versioning, and performance tracking.
 
 
 </li>
 </ul>
 Technical Leadership
 
 
 <ul>
 <li>
 Provide technical leadership to AI engineers and data scientists.
 </li>
 <li>
 Review code and guide best practices in AI development.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI solutions with business goals.
 </li>
 <li>
 Contribute to technical strategy and AI roadmap planning.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning engineering.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Hands-on experience with PyTorch or TensorFlow.
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks.
 </li>
 <li>
 Strong understanding of system design and scalable architectures.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 <li>
 Solid understanding of data pipelines and data engineering concepts.
 </li>
 </ul>
</div>

AI Architect

HireOn

<div>
 
 Lead Data Scientist &ndash; GenAI (Generative AI)
 
 
 
 Experience: 10+ Years
 
 
 Location: Cairo, Egypt (onsite;
 
 in-office job
 
 )
 
 
 Employment Type: Full-Time
 
 
 
 About The Role
 
 
 
 Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE and Asian region, is hiring
 
 high-caliber Lead Generative AI Engineers.
 
 
 
 This role is ideal for someone who has
 
 10+ years
 
 of software engineering and AI/ML experience and is now focused on
 
 tool-using LLMs, LangChain, AutoGPT, or similar frameworks
 
 .
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and architecture of AI-powered enterprise solutions.
 </li>
 <li>
 Drive technical decisions across infrastructure, databases, APIs, microservices, and AI components.
 </li>
 <li>
 Deploy LLMs and GenAI applications in production environments.
 </li>
 <li>
 Provide guidance on prompt engineering, Chain-of-Thought, and advanced AI/ML techniques.
 </li>
 <li>
 Integrate AI/ML models with enterprise systems for high performance and scalability.
 </li>
 <li>
 Mentor and manage technical teams, ensuring knowledge transfer and best practices.
 </li>
 <li>
 Lead AI/ML projects from conceptualization to delivery, including cloud and hybrid deployments.
 </li>
 <li>
 Lead multi-agent systems, and RAG workflow implementations.
 
 
 </li>
 </ul>
 
 Technical Requirements
 
 
 
 <ul>
 <li>
 GenAI Expertise: Hands-on experience with LLM fine-tuning and production deployment.
 </li>
 <li>
 AI/ML &amp; Enterprise Architecture: Experience in Python, TensorFlow, PyTorch, full-stack development, Kubernetes, SQL/NoSQL databases, APIs, and microservices.
 
 
 </li>
 </ul>
 Skills: langchain,autogpt,prompt engineering,ai application development,openai,llama2,vector databases,llm frameworks,gemini,embedding models,agentic ai,generative ai,semantic kernel,rag,crewai,agents
</div>

Lead Data Scientist - AI/ML (Generative AI)

Valeo

<div>
 
 You will be joining the
 
 AI4ALL
 
 initiative within our Group IS Application Center (GISACC). This agile team is dedicated to revolutionizing our products and internal tools by harnessing the power of cutting-edge
 
 Generative AI
 
 . We aim to build scalable, serverless, and intelligent applications that seamlessly integrate into Valeo&rsquo;s workflow.
 
 
 
 
 
 Mission
 
 
 
 
 
 As a
 
 Senior AI Data Engineer
 
 , you will bridge the gap between raw enterprise data and our Generative AI ecosystem. You will architect the "nervous system" of our AI models, ensuring our LLMs have access to high-quality, real-time, and contextually relevant data to power the next generation of Valeo&rsquo;s Software Defined Vehicle (SDV) tools and internal processes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Advanced RAG Architecture: Design and implement end-to-end pipelines for Retrieval-Augmented Generation (RAG), including advanced retrieval techniques, Graph RAG, Agentic RAG, and multimodal RAG.
 </li>
 <li>
 Vector Database Management: Architect and optimize vector stores (e.g., Qdrant, Pinecone) to handle high-dimensional embeddings and ensure low-latency similarity searches.
 </li>
 <li>
 Data Connectivity: Design, develop, and maintain secure data connectors to pull information from various external tools, SaaS platforms, and internal databases.
 </li>
 <li>
 Data Pre-processing for Gen-AI: Develop cleaning and normalization workflows specifically for unstructured data (PDFs, HTML, Markdown) to ensure optimal LLM performance.
 </li>
 <li>
 Orchestration: Use tools like LangChain, LlamaIndex, or Haystack to orchestrate complex data flows between storage, embedding models, and LLM endpoints.
 </li>
 <li>
 Monitoring &amp; Evaluation: Implement "RAG-as-a-service" monitoring to track retrieval quality (faithfulness, relevancy) and data drift in production.
 
 
 </li>
 </ul>
 
 
 Candidate Profile
 
 
 
 
 <ul>
 <li>
 Education: B.Sc. or M.Sc. in Computer Science, Data Engineering, or a related field.
 </li>
 <li>
 Experience: 5+ years in Data Engineering with a recent focus on AI/ML pipelines.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Languages: Expert proficiency in Python and SQL; knowledge of Java or Go is a plus.
 </li>
 <li>
 Data Tools: Experience with Spark, Kafka, Airflow/Prefect, and dbt.
 </li>
 <li>
 AI Frameworks: Hands-on experience with LangChain, LlamaIndex, OpenAI API, Hugging Face, MCP, A2A, and ADK.
 </li>
 <li>
 Vector DBs: Proficiency with Qdrant, Pinecone, Chroma, Weaviate, or pgvector.
 </li>
 <li>
 Cloud/DevOps: Knowledge of GCP/AWS, Docker, and Kubernetes.
 </li>
 </ul>
 <li>
 Preferred: Deep understanding of embedding models, chunking strategies, and unstructured data extraction tools (e.g., Unstructured.io, PyMuPDF).
 </li>
 </ul>
</div>

Senior AI Data Engineer, AI4ALL

InVitro Capital

<div>
 
 
 About InVitro Capital:
 
 
 
 
 
 
 InVitro Capital is a U.S.-based venture studio and fund. We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems. Our portfolio spans healthcare, home services, and sales technology.
 
 
 Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products. We do not bolt AI onto products &mdash; we design AI-native systems from day one.
 
 
 We operate with a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 We are looking for an exceptionally strong Tech Lead (AI + Full Stack) who codes every day and leads through architecture, execution, and example. This role is designed for elite senior builders who thrive in zero-to-one environments, enjoy solving complex problems, and can ship production-grade systems quickly.
 
 
 This is a full-stack tech lead role first: you will architect and ship end-to-end product systems (backend + frontend collaboration), and you must also be strong enough in AI/ML to build and productionize AI capabilities inside those systems.
 
 
 
 
 
 You will:
 
 <ul>
 <li>
 Architect core systems
 </li>
 <li>
 Build them with your own hands
 </li>
 <li>
 Integrate AI tooling &amp; agents
 </li>
 <li>
 Mentor engineers through technical leadership
 </li>
 <li>
 Drive engineering excellence across multiple ventures
 </li>
 </ul>
 
 This is not a people-management role &mdash; it is a high-impact IC leadership role.
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 
 
 Build &amp; Lead With Technical Depth (70-90% hands-on)
 
 
 <ul>
 <li>
 Architect, build, and ship backend and full-stack systems end to end.
 </li>
 <li>
 Lead engineers through code reviews, architecture reviews, and solid technical decision-making.
 </li>
 <li>
 Own engineering execution across multiple ventures.
 </li>
 </ul>
 
 
 
 
 
 Design Scalable, AI-Native Architectures
 
 
 <ul>
 <li>
 Build modular APIs, distributed systems.
 </li>
 <li>
 Embed AI capabilities into product systems (LLMs and/or domain AI like NLP/CV) in a way that is secure, observable, reliable, and scalable.
 </li>
 <li>
 Design and implement retrieval workflows (RAG), evaluation/guardrails, and agent/tool orchestration where they add real product value.
 </li>
 <li>
 Work with Python, OpenAI, Anthropic, LangGraph, LangChain, LlamaIndex, vector databases, and agent toolchains.
 </li>
 </ul>
 
 
 
 
 
 Engineer With Excellence
 
 
 <ul>
 <li>
 Write high-performance, production-grade code in Python (primary) for backend services and AI/ML systems.
 </li>
 <li>
 Build and productionize ML/AI components (training/inference pipelines, model serving, and integrations) with strong engineering discipline.
 </li>
 <li>
 Build systems optimized for reliability, performance, and observability.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Ownership
 
 
 <ul>
 <li>
 Collaborate with frontend engineers to deliver seamless end-to-end experiences.
 </li>
 <li>
 Design clean APIs, interfaces, and developer workflows.
 </li>
 </ul>
 
 
 
 
 
 DevOps + Cloud Execution
 
 
 <ul>
 <li>
 Manage CI/CD pipelines and cloud deployments on AWS.
 </li>
 <li>
 Kubernetes is a strong plus; AWS + Docker + CI/CD and production deployment ownership are required.
 </li>
 <li>
 Ensure systems are scalable, fault-tolerant, secure, and well-instrumented.
 </li>
 <li>
 Own production deployments of AI/ML components (model serving, monitoring, and lifecycle workflows) alongside the core application stack.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Mentor engineers and uplift technical standards across the stack.
 </li>
 <li>
 Provide architectural direction and guide complex technical initiatives.
 </li>
 <li>
 Contribute to hiring and shaping engineering culture.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Professional Engineering Experience &mdash; 12+ years building and shipping production-grade systems.
 </li>
 <li>
 Python Expertise (FastAPI or similar, production) &mdash; async services, Pydantic models, you write Python daily.
 </li>
 <li>
 Backend/System Architecture Ownership &mdash; you've owned system design decisions, led code reviews, mentored engineers, and shipped end-to-end systems as a senior IC or tech lead.
 </li>
 <li>
 Core ML / Deep Learning (hands-on) &mdash; built ML/DL systems using PyTorch or TensorFlow; understand training, evaluation, optimization.
 </li>
 <li>
 Production ML Deployment / MLOps &mdash; deployed ML systems to production; owned monitoring, versioning, rollback strategies, lifecycle management.
 </li>
 <li>
 Applied AI Systems Experience &mdash; shipped AI-powered features using LLMs and/or applied NLP/CV in real products (not experimentation only).
 </li>
 <li>
 PostgreSQL &mdash; schema design, query optimization, migrations.
 </li>
 <li>
 Cloud + Delivery &mdash; AWS + Docker + CI/CD; production deployments and operational ownership.
 </li>
 <li>
 REST API Design &mdash; clean interfaces serving multiple clients (web, mobile, service-to-service).
 </li>
 <li>
 Startup Execution &mdash; experience in fast-paced, high-ownership environments.
 </li>
 </ul>
 
 
 
 
 
 Strong Plus:
 
 
 <ul>
 <li>
 Ruby on Rails (production) &mdash; built and maintained real Rails APIs with background jobs (e.g., Sidekiq), webhooks, and complex domain logic.
 </li>
 <li>
 Kubernetes (production) &mdash; EKS (or equivalent), Kubernetes-based deployments, operational ownership.
 </li>
 <li>
 GenAI Depth &mdash; experience designing RAG systems, prompt strategies, fine-tuning workflows, and evaluation/guardrails.
 </li>
 <li>
 Retrieval &amp; Vector Systems &mdash; vector databases (Pinecone, Weaviate, or similar), embedding strategies, namespace/tenancy design, reranking.
 </li>
 <li>
 Agent Orchestration &mdash; multi-agent patterns, tool use, chain composition (CrewAI, LangGraph, or similar).
 </li>
 <li>
 AI Tooling Ecosystem &mdash; LangChain, LlamaIndex, Hugging Face, or similar; LLM observability/tracing (LangSmith or equivalent).
 </li>
 <li>
 Full-Stack Fluency &mdash; strong collaboration with frontend teams to ship end-to-end product experiences; clean API contracts.
 </li>
 <li>
 React 19 (JavaScript) &mdash; Redux Toolkit, RTK Query, Vite, shadcn/ui.
 </li>
 <li>
 Flutter/Dart &mdash; mobile app development, BLoC pattern, Clean Architecture.
 </li>
 <li>
 Firebase/Firestore &mdash; real-time sync, Cloud Functions.
 </li>
 <li>
 Stripe &mdash; payment processing, webhook-driven architecture, Connect.
 </li>
 <li>
 MongoDB &mdash; document modeling; async drivers (Motor) is a plus.
 </li>
 <li>
 Multimodal AI &mdash; vision models; real-time audio/video AI (LiveKit, OpenAI Realtime API).
 </li>
 <li>
 Redis + Sidekiq &mdash; background job processing, caching.
 </li>
 <li>
 0&rarr;1 / Venture Studio Experience &mdash; building products from scratch in multi-product, high-velocity environments.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Compensation: $4,000-$5,000 USD/month base + bonus
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Paid Time Off (PTO)
 </li>
 <li>
 High ownership and autonomy
 </li>
 <li>
 Opportunity to build multiple AI-powered products from scratch
 </li>
 <li>
 A culture optimized for speed, impact, and technical excellence
 </li>
 </ul>
 
 
 
 
 
 Schedule &amp; Work Setup
 
 
 <ul>
 <li>
 Cairo-based candidates preferred
 </li>
 <li>
 Hybrid: expected at the Cairo office at least once per week
 </li>
 <li>
 Monday-Friday, aligned with U.S. Pacific Time
 </li>
 <li>
 High-autonomy, high-velocity engineering environment
 </li>
 </ul>
</div>

Tech Lead (AI + Full Stack/ Python) - Hands-On Builder

Velents.ai

<div>
 حلول فيلينتس بالذكاء الاصطناعي تخدم أكثر من 5 وزارات حكومية في المملكة العربية السعودية والكثير من الشركات الكبيرة والناشئة في مختلف القطاعات مثل مجالات التوظيف، التعليم، تطوير الموظفين، تأهيل الطلاب، خدمة العملاء، المبيعات، وغيرها. وذلك من خلال تطوير واجهات برمجة التطبيقات مثل المحادثات التفاعلية مع الذكاء الاصطناعي، تحويل الصوت والفيديو إلى نص، .تحليل الفيديو، قراءة ومطابقة المستندات، اختبارات المهارات، ونظام مكافحة الغش. والمزيد والمزيد.. تعرف أكثر على حلول فيلينتس بالذكاء الاصطناعي من خلال موقعنا
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Tender &amp; Proposal Management
 </li>
 <li>
 Work on government and enterprise tenders in Saudi Arabia, ensuring compliance with local procurement processes and infrastructure technology requirements.
 </li>
 <li>
 Prepare and deliver cost sheets, solution architectures, and compliance documentation aligned with customer expectations.
 </li>
 <li>
 Technical Leadership in Pre-Sales
 </li>
 <li>
 Present Velents.ai&rsquo;s AI-driven recruitment solutions to clients in a consultative manner.
 </li>
 <li>
 Lead proof of concept (POC) engagements from design through delivery, supported by our Vibe Coders team who will help implement and customize solutions.
 </li>
 <li>
 Demonstrate samples of technical proposals, architectures, and prior work to showcase expertise.
 </li>
 <li>
 Integration &amp; Solution Design
 </li>
 <li>
 Architect solutions leveraging APIs and integrations to connect Velents.ai with existing HR, ERP, or infra tech ecosystems.
 </li>
 <li>
 Provide technical validation for AI-driven workflows and ensure scalability in customer environments.
 </li>
 <li>
 Partner &amp; Ecosystem Engagement
 </li>
 <li>
 Manage channel partners and system integrators, ensuring smooth collaboration in deals and delivery.
 </li>
 <li>
 Support partner enablement with technical training, demos, and documentation.
 </li>
 <li>
 Commercial &amp; Strategic Support
 </li>
 <li>
 Work with sales to define technical win strategies and competitive differentiation.
 </li>
 <li>
 Build cost sheets and solution proposals aligned with both client budgets and Velents.ai&rsquo;s value proposition.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience in KSA tenders and infrastructure technology (Infra Tech), with a strong understanding of procurement and approval processes.
 </li>
 <li>
 Demonstrated expertise in AI solutions, APIs, and system integrations.
 </li>
 <li>
 Strong background in pre-sales engineering, solution architecture, or technical consulting.
 </li>
 <li>
 Proven ability to manage POCs, with support from an engineering team.
 </li>
 <li>
 Ability to create and present technical proposals, cost sheets, and architecture diagrams.
 </li>
 <li>
 Excellent communication skills in Arabic &amp; English (written and verbal).
 </li>
 <li>
 Strong stakeholder management experience, including partner and enterprise clients.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Prior experience in HR Tech, AI SaaS, or enterprise software solutions.
 </li>
 <li>
 Familiarity with Saudi government approval systems (e.g., Etimad/اعتماد).
 </li>
 <li>
 Hands-on knowledge of cloud, infra security, and enterprise integrations.
 
 
 </li>
 </ul>
 
 Why Join Velents.ai?
 
 
 
 <ul>
 <li>
 Be part of a fast-growing AI startup expanding across MENA.
 </li>
 <li>
 Opportunity to lead strategic, high-value deals in the KSA market.
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Laptop allowance
 </li>
 <li>
 Flexible work culture with growth opportunities into Solution Architect / Pre-Sales Lead roles.
 </li>
 </ul>
</div>

AI Pre-Sales Engineer

<div>
 
 Overview
 
 
 
 As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation&mdash;contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 The Opportunity
 
 
 We are seeking a Fullstack Developer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs) that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions&mdash;translating business requirements into robust, scalable, and accessible web experiences.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and iterate fullstack web applications for AI Hub PoCs and MVPs&mdash;delivering responsive UIs, seamless navigation, dashboards, and interactive user experiences.
 </li>
 <li>
 Architect and implement RESTful APIs and backend services, ensuring secure integration and clean API design in line with modern best practices.
 </li>
 <li>
 Translate product requirements and wireframes into maintainable, design-system-friendly UI components using React, Next.js, Tailwind CSS, and modern CSS methodologies.
 </li>
 <li>
 Integrate front-end applications with AI/ML and backend services (REST/GraphQL), enabling advanced features like chat, summarization, and guided workflows.
 </li>
 <li>
 Optimize applications for performance, accessibility (WCAG compliance), and cross-browser compatibility, with a focus on debugging and fine-tuning both front-end and back-end performance.
 </li>
 <li>
 Collaborate closely with UI/UX designers, stakeholders, and cross-functional teams to ship high-quality, production-ready code in short, iterative cycles.
 </li>
 <li>
 Contribute to the development and maintenance of reusable UI patterns, backend utilities, and assets to accelerate delivery across multiple AI Hub initiatives.
 </li>
 <li>
 Support delivery planning, uphold high engineering standards, participate in code reviews, testing, documentation, and CI/CD-friendly practices.
 
 
 </li>
 </ul>
 Skills and Attributes for Success
 
 
 <ul>
 <li>
 Strong ownership mindset; thrives in fast-paced, iterative delivery environments.
 </li>
 <li>
 Exceptional communication skills with both technical and non-technical stakeholders.
 </li>
 <li>
 Demonstrated craftsmanship and attention to detail in both UI/UX and backend architecture.
 </li>
 <li>
 Expertise in performance debugging, accessibility, and usability.
 </li>
 <li>
 Proactive problem-solver who can quickly unblock challenges and propose pragmatic solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 6+ years of professional experience in fullstack web development.
 </li>
 <li>
 Deep expertise in React and Next.js for building modern, component-based UIs.
 </li>
 <li>
 Extensive experience with API usage and design, including REST API architecture and integration.
 </li>
 <li>
 Strong proficiency in Tailwind CSS and advanced CSS techniques for scalable and maintainable styling.
 </li>
 <li>
 Solid background in performance debugging and cross-browser compatibility.
 </li>
 <li>
 Hands-on experience in building accessible (WCAG-compliant) web applications.
 
 
 </li>
 </ul>
 Ideally, You&rsquo;ll Also Have
 
 
 <ul>
 <li>
 Familiarity with DevOps practices, especially Azure hosting (App Service, Static Web Apps), CI/CD, and observability.
 </li>
 <li>
 UI/UX design experience or close collaboration with design teams.
 </li>
 <li>
 Experience building data-heavy interfaces (tables, charts, filters) and handling internationalization (Arabic language skills are a plus).
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
 </li>
 <li>
 A diverse, inclusive, and collaborative culture.
 
 
 </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience&mdash;where you can shape your future and help us build a better working world.
 
 
 EY | Building a better working world
</div>

Fullstack Developer - AI Hub (Cairo, Amman or Riyadh)

Octopus.Travel

<div>
 
 We&rsquo;re building serious software. Not prototypes. Not hobby apps. Scalable, secure, production-grade platforms powered by Azure and AI.
 
 
 
 
 
 Octopus is a pioneering online travel service, reshaping the way journeys are planned and booked. Our vision is to create a tailored travel ecosystem designed to unlock unique opportunities and unparalleled journeys for the MENA region.
 
 
 
 
 
 We&rsquo;re looking for a
 
 Mobile Developer
 
 who can architect and build high-quality native apps with clean architecture, and rock-solid API integrations.
 
 
 
 
 
 What You&rsquo;ll Build
 
 
 <ul>
 <li>
 Native mobile apps (iOS &amp; Android)
 </li>
 <li>
 Secure authentication flows using
 
 Auth0 (OAuth2 / OIDC)
 
 </li>
 <li>
 
 Seamless integrations with Azure-based REST APIs
 
 </li>
 <li>
 
 Offline-first capabilities where needed
 
 </li>
 <li>
 
 Scalable, maintainable mobile architecture ready for growth
 
 </li>
 </ul>
 
 You won&rsquo;t just consume APIs. You&rsquo;ll help shape how mobile interacts with our backend ecosystem.
 
 
 
 
 
 Tech Stack
 
 
 <ul>
 <li>
 Native framework (Swift / Kotlin)
 </li>
 <li>
 RESTful APIs hosted on
 
 Azure App Services
 
 </li>
 <li>
 
 OAuth2 / OIDC authentication via Auth0
 
 </li>
 <li>
 
 CI/CD pipelines
 
 </li>
 <li>
 
 Secure storage &amp; token management
 
 </li>
 <li>
 
 App Store &amp; Play Store deployment workflows
 
 </li>
 </ul>
 
 
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 Design and implement production-ready mobile applications
 </li>
 <li>
 Integrate REST APIs with proper error handling, retry logic, and performance optimization
 </li>
 <li>
 Implement secure authentication and token lifecycle management
 </li>
 <li>
 Optimize performance, responsiveness, and UX
 </li>
 <li>
 Contribute to architectural decisions
 </li>
 <li>
 Collaborate closely with backend and product teams
 </li>
 </ul>
 
 
 
 
 
 What We Expect
 
 
 <ul>
 <li>
 Strong experience in cross-platform mobile development
 </li>
 <li>
 Deep understanding of REST APIs and API-driven architecture
 </li>
 <li>
 Experience with OAuth2 / OpenID Connect (Auth0 experience is a plus)
 </li>
 <li>
 Solid understanding of mobile security best practices
 </li>
 <li>
 Experience deploying to App Store and Play Store
 </li>
 <li>
 Clean code mindset and structured architecture thinking
 </li>
 </ul>
 
 
 Bonus points for:
 
 
 <ul>
 <li>
 Azure ecosystem knowledge
 </li>
 <li>
 Experience with AI-driven applications
 </li>
 <li>
 Experience in SaaS products
 </li>
 </ul>
 
 
 
 
 
 What to expect from us?
 
 
 <ul>
 <li>
 
 Competitive compensation:
 
 We pay well for great talent, and we review performance and compensation as the company grows.
 </li>
 <li>
 
 Social insurance and medical insurance
 
 (or as soon as legally/administratively possible based on your location and onboarding).
 </li>
 <li>
 
 Startup pace with real impact:
 
 you&rsquo;ll ship meaningful features, influence architecture and process, and see your work go live quickly.
 </li>
 <li>
 
 High trust, low politics:
 
 direct communication, clear priorities, and a team that values getting things done over endless meetings.
 </li>
 <li>
 
 A mission with &ldquo;dreams of grandeur&rdquo;
 
 : we&rsquo;re building a category-defining travel platform, if you like ambitious goals and hard problems, you&rsquo;ll feel at home.
 </li>
 </ul>
 
 
 
</div>

Mobile Application Developer

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