accountant – accounts receivable (junior)

data engineer

senior network engineer

ai & automation engineer, light Jobs in Cairo

ai & automation engineer, light

ai engineer, light

ai platform engineer

ai genai solutions engineer

Soum

<div>
 
 Role Name: AI / GenAI Solutions Engineer
 
 
 
 Location:
 
 Egypt, Pakistan (Remote)
 
 
 
 Work Week:
 
 Sunday - Thursday
 
 
 
 Working Hours:
 
 9:00 AM - 6:00 PM (Saudi Arabia Standard Time)
 
 
 
 Overview:
 
 
 Soum is building an AI native layer across our C2C marketplace, from customer conversations to automated order handling, personalised discovery, recommendations, fraud signals, and seller tooling. We're looking for a Senior GenAI Engineer to design and ship production-grade AI systems that touch millions of users across the buying and selling journey.
 
 
 You'll work end-to-end: architecting LLM-powered services on our Python backend, integrating them into product surfaces on our React frontend, and partnering with teams across the company to find where AI genuinely moves the needle. This is a senior builder's role with high autonomy, broad scope, and real impact on the business.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Architect production GenAI systems across multiple domains, including conversational agents, automated order and dispute workflows, personalized discovery and recommendations, content generation, search relevance, and emerging use cases.
 </li>
 <li>
 Own features end-to-end, from problem framing and model selection through backend services (FastAPI, Python), frontend integration (React, TypeScript), evaluation, deployment, and monitoring.
 </li>
 <li>
 Design agentic workflows with tool calling, multi-step reasoning, retrieval augmented generation, and integrations with internal APIs, third-party SaaS, and event-driven systems.
 </li>
 <li>
 Build the retrieval and embeddings stack, including chunking strategies, embedding model selection, vector indexes, hybrid search, reranking, and retrieval evaluation pipelines.
 </li>
 <li>
 Make it reliable and cost-efficient through streaming, prompt caching, latency budgets, token cost optimization, observability for LLM calls, and graceful fallback when models or upstreams misbehave.
 </li>
 <li>
 Establish evaluation rigor with offline and online evals covering response quality, tool call correctness, hallucination rate, retrieval precision, and business KPIs.
 </li>
 <li>
 Drive experimentation and research by evaluating new models, frameworks, and agent patterns, running focused experiments, and bringing what works into production.
 </li>
 <li>
 Mentor and raise the bar for engineers across the team on AI and ML best practices, prompt engineering, and production readiness.
 </li>
 <li>
 Partner cross-functionally with Product, Engineering, Data, Ops, and CX to identify high-leverage AI opportunities and ship them.
 
 
 
 
 
 </li>
 </ul>
 
 Where You'll Have Impact
 
 
 A non-exhaustive list of areas we are actively building in or want to:
 
 
 
 <ul>
 <li>
 Conversational AI for customer support, dispute resolution, and seller assistance
 </li>
 <li>
 Automated order handling, escalation routing, and workflow orchestration
 </li>
 <li>
 Personalized discovery, recommendations, and search relevance
 </li>
 <li>
 Listing quality, including auto-generated titles, descriptions, categorization, and image understanding
 </li>
 <li>
 Trust and safety, including fraud signals, anomaly detection, and content moderation
 </li>
 <li>
 Internal agent tooling for ops and CX teams
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required
 
 
 
 <ul>
 <li>
 5+ years building production software, with at least 2 years shipping LLM and ML-powered features at scale
 </li>
 <li>
 Strong Python for backend services, scripting, data pipelines, and ML tooling
 </li>
 <li>
 Working ability in TypeScript and React for integrating AI features directly into product surfaces
 </li>
 <li>
 Production experience with major LLM providers (Gemini, Claude, GPT) covering tool and function calling, structured outputs, streaming, prompt caching, and cost control
 </li>
 <li>
 Deep understanding of Retrieval Augmented Generation (RAG): document ingestion, chunking, embedding generation, vector databases (pgvector, Pinecone, Weaviate, or similar), hybrid retrieval, and reranking
 </li>
 <li>
 Solid grounding in embeddings and vector search: dense vs. sparse representations, similarity metrics, indexing strategies (HNSW, IVF), and dimensionality tradeoffs
 </li>
 <li>
 Strong ML and NLP fundamentals: transformer architectures, tokenization, fine-tuning vs. prompting tradeoffs, classification, ranking, and evaluation methodology
 </li>
 <li>
 Experience with scripting and automation for data preparation, model evaluation harnesses, and offline analysis
 </li>
 <li>
 Comfortable with relational databases (PostgreSQL), caching layers (Redis), REST, SSE, WebSockets, and event-driven architectures
 </li>
 <li>
 Production experience with observability, A/B testing, and rolling out model changes safely
 
 
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with recommendation systems, learning to rank, or search relevance at scale
 </li>
 <li>
 Marketplace or C2C background covering buyer and seller dynamics, disputes, fraud, and payouts
 </li>
 <li>
 Multimodal model experience, including vision and image understanding for listings
 </li>
 <li>
 Arabic NLP or bilingual product experience
 </li>
 <li>
 Experience with agent frameworks (LangGraph, custom orchestrators) and the judgment to know when to use them
 </li>
 <li>
 Fine-tuning, LoRA, distillation, or hosting open weight models in production
 </li>
 <li>
 Open source contributions to LLM tooling, eval frameworks, or retrieval libraries
 
 
 
 
 
 </li>
 </ul>
 
 What We Care About
 
 
 
 <ul>
 <li>
 Ship over the architect. Lean code, no premature abstractions, no half-finished frameworks.
 </li>
 <li>
 Measurement-driven development. Features ship with evals and metrics, not vibes.
 </li>
 <li>
 Ownership. From idea to deployment to monitoring the first real users.
 </li>
 <li>
 Curiosity and range. This role spans many problem domains, and we want someone energized by that.
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

AI / GenAI Solutions Engineer

<div>
 
 Overview
 
 
 
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, 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 Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions 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, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 
 
 Core Requirements
 
 
 <ul>
 <li>
 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
 </li>
 <li>
 Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
 </li>
 <li>
 Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
 </li>
 <li>
 Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
 </li>
 <li>
 Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
 </li>
 <li>
 Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
 </li>
 <li>
 Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
 </li>
 <li>
 Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
 </li>
 <li>
 Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
 </li>
 <li>
 Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
 </li>
 <li>
 Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
 </li>
 <li>
 Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
 </li>
 <li>
 hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
 </li>
 <li>
 Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
 </li>
 <li>
 Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
 </li>
 <li>
 Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
 </li>
 <li>
 Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
 </li>
 <li>
 Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
 </li>
 <li>
 Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
 
 
 </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, where you can shape your future and help us build a better working world.
</div>

Senior Consultant - AI Software Engineer- AI Hub - Cairo

Valeo

<div>
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 
 Responsibilities
 
 
 
 
 This position is the cornerstone of the AI4ALL team, he is responsible for developing applications, testing and maintaining them.
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 </li>
 <li>
 Build user-facing product features using the framework's capabilities
 </li>
 <li>
 Create responsive UI components, ensure smooth interactions with AI models
 </li>
 <li>
 Manage client-side data handling
 </li>
 <li>
 Conduct various frontend testing
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional Competences
 
 
 
 
 
 Deep learning (TensorFlow, PyTorch)
 
 
 2
 
 
 
 
 Collaborative mindset
 
 
 3
 
 
 
 
 Knowledge of GenAI Framework (LangChain, LlamaIndex)
 
 
 3
 
 
 
 
 Focus on code quality
 
 
 3
 
 
 
 
 Strong knowledge of OOP &amp; Functional Programming
 
 
 3
 
 
 
 
 Self-organized
 
 
 3
 
 
 
 
 Python, REST API development
 
 
 3
 
 
 
 
 Experience with Python based web framework (Flask, FastAPI, Django)
 
 
 3
 
 
 
 
 JavaScript/TypeScript, HTML, CSS
 
 
 3
 
 
 
 
 Frontend Frameworks at least one (React, Vue, Angular)
 
 
 2
 
 
 
 
 Experience with Python based test framework (PyTest, PyUnit)
 
 
 2
 
 
 
 
 Knowledge of Cloud Services (GCP, AWS)
 
 
 2
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 3+ Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge of at least one Web framework (FastAPI, Django, Flask, &hellip;).
 </li>
 <li>
 Knowledge of (HTML, CSS, JS)
 </li>
 <li>
 Knowledge of React frontend framework is a plus.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 
 We prefer a great/interested/excited team player with less experience to an unmotivated or unengaged one with tons of experience.
 
</div>

Senior Full Stack Developer, AI4ALL

Siemens

<div>
 
 About Brightly Software
 
 
 
 Brightly Software is a leader in intelligent asset management and operational optimization, empowering organizations with data‑driven insights. As we expand our AI and ML capabilities, we are seeking a Senior MLOps Engineer to build and scale the infrastructure that powers our next generation of predictive and autonomous solutions.
 
 
 
 Role Overview
 
 
 
 As a Senior MLOps Engineer, you will architect, develop, and operate end‑to‑end machine learning infrastructure on AWS. You will work at the intersection of ML engineering, cloud infrastructure, and developer productivity&mdash;enabling Brightly's data science teams to move seamlessly from experimentation to reliable, secure, and cost‑efficient production systems.
 
 
 Your work will ensure that ML models and data pipelines are scalable, observable, and compliant with best‑in‑class MLOps practices.
 
 
 
 Key Responsibilities
 
 
 
 
 ML Platform &amp; Infrastructure (AWS‑focused)
 
 
 
 <ul>
 <li>
 Design, build, and operate ML/AI development platforms on AWS, leveraging services such as Amazon SageMaker (Studio, Training, Real‑Time &amp; Async Inference, Pipelines, Feature Store), S3, Glue, Lambda, ECS/EKS, and related cloud infrastructure.
 </li>
 <li>
 Implement infrastructure‑as‑code using Terraform or equivalent, and manage workflow orchestration using AWS Step Functions or Airflow.
 
 
 </li>
 </ul>
 
 Data &amp; Model Pipelines
 
 
 
 <ul>
 <li>
 Build automated data ingestion and transformation pipelines using S3, Glue, EMR/Spark, and Redshift, incorporating data quality and lineage tooling (e.g., Great Expectations, Deequ).
 
 
 </li>
 </ul>
 
 CI/CD for Machine Learning
 
 
 
 <ul>
 <li>
 Develop CI/CD pipelines for ML with CodeBuild, CodePipeline, or GitHub Actions, integrating unit tests, data contract checks, model validation, canary/shadow deployments, and automated rollback strategies.
 
 
 </li>
 </ul>
 
 Model Deployment &amp; Operations
 
 
 
 <ul>
 <li>
 Deploy real‑time inference endpoints (SageMaker endpoints or FastAPI‑based services on Lambda/ECS/EKS) and scalable batch processing jobs.
 </li>
 <li>
 Define SLOs, implement autoscaling, and drive cost/performance optimizations across ML workloads.
 
 
 </li>
 </ul>
 
 Monitoring, Observability &amp; Governance
 
 
 
 <ul>
 <li>
 Implement production monitoring for drift, bias, and performance using SageMaker Model Monitor and service telemetry tools like CloudWatch, Prometheus, and Grafana.
 </li>
 <li>
 Enforce security and governance best practices, including least‑privilege IAM, VPC‑isolated architectures, encryption, and secret management.
 
 
 </li>
 </ul>
 
 Cross‑Functional Collaboration
 
 
 
 <ul>
 <li>
 Partner closely with data scientists, ML engineers, and backend engineers to productionize ML models and streamline development workflows.
 </li>
 <li>
 Contribute to the integration of emerging GenAI workloads, including Amazon Bedrock, vector databases (e.g., OpenSearch), and RAG pipelines.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 7+ years of professional experience in ML engineering, DevOps, cloud engineering, or MLOps roles, with at least 3 years in a senior or lead capacity.
 </li>
 <li>
 3+ years of proven track record in designing and architecting robust, scalable ML systems and infrastructure in cloud environments, particularly on AWS.
 </li>
 <li>
 5+ years of deep experience building on the AWS ML ecosystem, including SageMaker, S3, Lambda, ECR, EKS/ECS, Step Functions, IAM, VPC networking, and CI/CD tooling.
 </li>
 <li>
 3+ years of hands-on experience deploying, maintaining, and scaling ML models in production environments.
 </li>
 <li>
 3+ years of strong Python development skills and familiarity with Docker‑based workflows.
 </li>
 <li>
 5+ years of solid understanding of ML lifecycles, model evaluation, and monitoring patterns.
 </li>
 <li>
 5+ years of extensive experience with infrastructure‑as‑code (Terraform, CloudFormation).
 </li>
 <li>
 5+ years of expertise in designing system architecture for ML platforms, including microservices, container orchestration, and cloud networking.
 </li>
 <li>
 3+ years of familiarity with MLOps best practices as defined by AWS and industry standards.
 </li>
 <li>
 2+ years of experience with data quality frameworks (Great Expectations, Deequ).
 </li>
 <li>
 2+ years of experience optimizing distributed training workflows on AWS.
 </li>
 <li>
 3+ years of knowledge of security and compliance requirements for ML in enterprise settings, such as IAM, encryption, and secret management.
 </li>
 <li>
 2+ years of experience with monitoring tools (CloudWatch, Prometheus, Grafana) and implementing model observability solutions.
 </li>
 <li>
 5+ years of effective cross-functional collaboration skills, working closely with data scientists, ML engineers, and software engineers to deliver production-grade ML solutions.
 </li>
 <li>
 7+ years of excellent problem-solving and communication abilities, with a focus on delivering scalable, reliable, and cost-effective ML platforms.
 
 
 </li>
 </ul>
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Operations Engineer

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Lead the future of AI platforms &mdash; your mission, should you choose to accept it!
 </li>
 <li>
 Lead and coordinate technical teams working on Data Ops, AI Ops, and platform development to ensure delivery of high-quality solutions.
 </li>
 <li>
 Drive the adoption and integration of Generative AI and Generative BI technologies within the platforms.
 </li>
 <li>
 Collaborate closely with cross-functional teams, including product owners, data scientists, and engineers, to align technical initiatives with business goals.
 </li>
 <li>
 Ensure operational excellence, scalability, and security of data and AI platforms.
 </li>
 <li>
 Mentor and develop team members to foster technical expertise and innovation
 </li>
 <li>
 Occasional missions and project examples
 </li>
 <li>
 Leading the deployment of a new Generative AI platform for business intelligence.
 </li>
 <li>
 Driving innovation workshops on GenAI and GenBI technologies.
 </li>
 <li>
 Coordinating with international partners on platform scalability and security.
 </li>
 <li>
 Skills you will develop This role offers you the opportunity to deepen your expertise in cutting-edge Data Ops and AI Ops practices, while leading highly strategic initiatives in Generative AI and BI technologies that are critical to the company&rsquo;s future. You will enhance your leadership capabilities by managing cross-functional teams and driving complex, high-impact projects in a fast-paced, innovative environment.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Your hard skills
 </li>
 <li>
 Strong expertise in Data Ops and AI Ops methodologies and tools.
 </li>
 <li>
 Deep knowledge of Generative AI and Generative BI technologies.
 </li>
 <li>
 Experience with scalable platform architecture and cloud technologies.
 </li>
 <li>
 Proficiency in data engineering, data pipelines, and orchestration tools.
 </li>
 <li>
 Familiarity with security and compliance standards in data and AI environments.
 </li>
 <li>
 Your soft skills You demonstrate strong leadership and communication skills, enabling you to inspire and guide diverse technical teams. Your strategic mindset and problem-solving abilities help you navigate complex challenges with agility. You are experienced in SAFe and agile methodologies, fostering a collaborative environment that encourages continuous learning and innovation.
 
 
 </li>
 </ul>
 You bring open mindedness, ability to handle pressure, leading with courage and empathy, assertiveness and communicate effectively.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Senior Operational Manager - Data & AI Platforms

<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)

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
 <li>
 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
 <li>
 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
 <li>
 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

Explore 339+ Ai genai solutions engineer in Cairo this May. Find roles across top companies and apply now to boost your career.