administrative assistant

executive assistant

admin assistant

assistant pr & marketing manager Jobs in Cairo

assistant pr & marketing manager

junior art director

production assistant

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

<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

Intellias

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 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
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore 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.
 
 
 
 
 
 
 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 eCommerce, 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.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

Procter & Gamble

<div>
 
 Job Location
 
 
 
 CAIRO BUSINESS OFFICE
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 The Artwork Specialist falls under the broader job family of Creative Design and Production. This job family focuses on the creation, development, and production of visual elements for various media channels. The Artwork Specialist plays a crucial role in ensuring the quality and accuracy of these visual elements.
 
 
 </li>
 </ul>
 
 Job Description:
 
 
 
 <ul>
 <li>
 The Artwork Specialist is responsible for creating and managing artwork for various products. This includes designing layouts, selecting colors, and choosing fonts that align with brand guidelines.
 </li>
 <li>
 The role also involves collaborating with multiple teams to ensure that the artwork meets the product specifications and regulatory requirements.
 
 
 </li>
 </ul>
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Create and manage artwork for various products in line with brand guidelines.
 </li>
 <li>
 Collaborate with multiple teams to ensure artwork meets product specifications and regulatory requirements.
 </li>
 <li>
 Review and approve final layouts for print production.
 </li>
 <li>
 Ensure all artwork is delivered within project timelines.
 </li>
 <li>
 Maintain a database of all artwork files for future reference.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 A degree in Graphic Design or a related field.
 </li>
 <li>
 Proficiency in design software such as Adobe Illustrator and Photoshop.
 </li>
 <li>
 Attention to detail and a keen eye for aesthetics.
 </li>
 <li>
 Ability to work in a fast-paced environment and meet tight deadlines.
 </li>
 <li>
 Strong communication skills to effectively collaborate with various teams.
 </li>
 <li>
 Candidates with strong, relevant portfolios and experience in packaging, print-ready artwork or layout systems.
 </li>
 <li>
 Understanding of color modes (CMYK vs. RGB) and print limitations
 </li>
 <li>
 Experience with Pantone matching and working with numerical color values
 </li>
 <li>
 Basic knowledge of packaging technical drawings
 
 
 </li>
 </ul>
 
 Must Have Skills
 
 :
 
 
 <ul>
 <li>
 Degree in Graphic Design/related field
 </li>
 <li>
 1 -3 years&rsquo; experience in graphic design or in studio
 </li>
 <li>
 Studio experience/knowledge
 </li>
 <li>
 Proficient in Adobe Illustrator
 </li>
 <li>
 Proficient in Photoshop
 </li>
 <li>
 Proficient in Adobe InDesign
 
 
 </li>
 </ul>
 
 Nice to Have Skills
 
 :
 
 
 <ul>
 <li>
 Strong understanding of brand architecture and design principles for visual consistency.
 </li>
 <li>
 Print Production Experience/knowledge
 
 
 </li>
 </ul>
 
 JUST SO YOU KNOW:
 
 
 
 You will get a competitive compensation package, in line with your qualifications and experience.
 
 
 We are an equal opportunity employer and value diversity at our company. Our people are all equally talented in unique ways: we come from diverse traditions, personal experiences and points of view, and we want to include yours. Our mission of Diversity and Inclusion is: &ldquo;Everyone valued. Everyone included. Everyone performing at their peak&rdquo;. Are you ready to inspire us with your creative ideas?
 
 
 
 About Us
 
 
 
 We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always&reg;, Ariel&reg;, Gillette&reg;, Head &amp; Shoulders&reg;, Herbal Essences&reg;, Oral-B&reg;, Pampers&reg;, Pantene&reg;, Tampax&reg; and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more.
 
 
 Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we&rsquo;re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being &ldquo;in touch&rdquo; so we craft brands and products to improve the lives of the world&rsquo;s consumers now and in the future. We want you to inspire us with your unrivaled ideas.
 
 
 We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000147143
 
 
 
 Job Segmentation
 
 
 
 Experienced Professionals
</div>

Graphic Design Specialist

PepsiCo

<div>
 
 Overview
 
 
 
 Pepsico is one of the world&rsquo;s leading food &amp; beverage companies in the world.
 
 
 In our Global design team we count over 180 designers and thinkers from world class agencies and fortune 500 companies.
 
 
 We make stuff, work with Designers, Brand teams , consumer insights, Media,
 
 
 Ecommerce teams and engineers.
 
 
 We&rsquo;re especially fond of quick thinkers, problem solvers and good communicators with a well-developed sense of form, proportion, color and materials both for graphic and
 
 
 product executions.
 
 
 If that&rsquo;s you, please keep reading.
 
 
 Website : http://design.pepsico.com/
 
 
 IG : https://www.instagram.com/pepsico_design
 
 
 
 Responsibilities
 
 
 
 In this role you will be responsible for execution of comprehensive brand design Strategy and graphic design projects within Foods &amp; Snacks Group.
 
 
 Successful candidate will demonstrate superior ability to drive design thinking from ideation thru concept development, refinement, and execution. Creating high quality brand design solutions by directly executing design and leveraging internal/external design resources.
 
 
 The Designer must be able to Visualize and articulate his/her creative thinking.
 
 
 The main objective of this role is to execute major brand design projects across a specific product portfolio. This means planning, organizing, and implementing consistent design principles and production processes to ensure that the design/production guardrails are met.
 
 
 Designer :
 
 
 Takes ownership of the visual identity for the Foods &amp; Beverage brands in the portfolio, working in collaboration with the Design Manager, Brand teams, insights teams and global design team.
 
 
 Generates creative design proposals (visions, scenarios, concepts) in order to visualize the desired output and share it with internal and external team members.
 
 
 Participates in research activities and effectively translates customer needs into actionable design requirements. Execute those requirements into design solutions for social media, and digital.
 
 
 Responsible for driving to final design recommendations, decisions and design approval to enable artwork execution / production phases.
 
 
 Ensure thorough consideration of all project variables and that the final solution will perform as planned.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 At least 3 years of deep brand design experience, Graphic designer Degree or similar ( Not a must )
 </li>
 <li>
 Extraordinary design taste and skill
 </li>
 <li>
 Being able to translate the brief into illustrations
 </li>
 <li>
 Extraordinary ability in using the Adobe Creative Suite software ( 3D software is a Plus)
 </li>
 <li>
 Understanding of Design AI tools is required
 </li>
 <li>
 Ability to work in dynamic work environment; is comfortable with risk and uncertainty
 </li>
 <li>
 Effectively communicates (verbally and written) with internal and external stakeholder across all levels
 </li>
 <li>
 Works well with others to deliver results; keeps others informed to avoid unnecessary surprises
 </li>
 <li>
 Proficiency in oral and written English
 </li>
 <li>
 Capability to develop and visualize concepts through hand sketching or computer software
 </li>
 <li>
 An incurable curiosity relating to all design things
 </li>
 <li>
 Great passion for new and creative trends
 </li>
 <li>
 Highly collaborative
 </li>
 <li>
 Team oriented, brainstorming sessions or presenting in front of other team members
 </li>
 <li>
 Ability to work smoothly with a fast-paced interdisciplinary team.
 </li>
 <li>
 Demonstrate clear &ldquo;point of view&rdquo; relating to their design
 </li>
 <li>
 Open and optimistic with entrepreneurship mindset
 </li>
 <li>
 Portfolio required.
 </li>
 </ul>
</div>

Graphic Product Designer

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are seeking a highly skilled
 
 Infrastructure &amp; DevSecOps Lead
 
 to lead the design, implementation, and management of our infrastructure and DevSecOps practices.
 
 
 In this role, you will be responsible for ensuring the scalability, reliability, and security of our infrastructure while driving the adoption of DevSecOps principles across the engineering organization.
 
 
 You will work closely with development, security, and operations teams to build secure and automated deployment pipelines that support our digital banking platform.
 
 
 Key Responsibilities
 
 
 Infrastructure Management
 
 <ul>
 <li>
 Design and manage scalable, secure, and highly available infrastructure environments.
 </li>
 <li>
 Oversee infrastructure provisioning and configuration across development and production environments.
 </li>
 <li>
 Ensure infrastructure reliability, performance, and availability.
 </li>
 </ul>
 
 DevSecOps Implementation
 
 <ul>
 <li>
 Implement and maintain
 
 CI/CD pipelines
 
 with integrated security practices.
 </li>
 <li>
 Automate infrastructure deployment using
 
 Infrastructure as Code (IaC)
 
 tools.
 </li>
 <li>
 Integrate security testing and compliance checks into the software development lifecycle.
 </li>
 </ul>
 
 Cloud &amp; Platform Engineering
 
 <ul>
 <li>
 Manage containerized environments and orchestration platforms.
 </li>
 <li>
 Optimize system performance and infrastructure costs.
 </li>
 </ul>
 
 Security &amp; Compliance
 
 <ul>
 <li>
 Ensure infrastructure and pipelines comply with security standards and regulatory requirements.
 </li>
 <li>
 Implement monitoring, logging, and vulnerability management practices.
 </li>
 </ul>
 
 Team Leadership
 
 <ul>
 <li>
 Lead and mentor DevOps and infrastructure engineers.
 </li>
 <li>
 Promote best practices for DevSecOps, automation, and platform reliability.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 Minimum 9
 
 + years of experience in infrastructure, DevOps, or platform engineering
 
 </li>
 <li>
 Proven experience leading
 
 DevOps or infrastructure teams
 
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 CI/CD tools (Jenkins, GitLab CI/CD, or similar)
 </li>
 <li>
 Containerization technologies (Docker)
 </li>
 <li>
 Container orchestration platforms (Kubernetes)
 </li>
 <li>
 Infrastructure as Code tools (Terraform, Ansible, or similar)
 </li>
 <li>
 Linux systems administration
 </li>
 <li>
 Monitoring and logging tools
 </li>
 </ul>
 
 Security
 
 <ul>
 <li>
 Experience integrating
 
 security practices into CI/CD pipelines
 
 </li>
 <li>
 Knowledge of
 
 application and infrastructure security best practices
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong leadership and communication skills
 </li>
 <li>
 Experience working in
 
 Agile development environments
 
 </li>
 <li>
 Strong troubleshooting and problem-solving abilities
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with
 
 cloud platforms (AWS, Azure, or GCP)
 
 </li>
 <li>
 Experience working in
 
 fintech, digital banking, or regulated industries
 
 </li>
 <li>
 Knowledge of
 
 DevSecOps frameworks and security automation
 
 </li>
 <li>
 Experience implementing
 
 high-availability production infrastructure
 
 </li>
 </ul>
</div>

Infrastructure & DevSecOps Lead

<div>
 
 
 Python / AI Engineer (AWS Bedrock, Multi-Agent AI)
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are looking for a
 
 Python / AI Engineer
 
 to design, build, and test intelligent multi-agent applications running on
 
 AWS Bedrock
 
 . In this role, you will develop AI agents using modern agent frameworks, implement agent collaboration and delegation patterns, integrate foundation models, and establish testing and evaluation practices for production-grade AI solutions.
 
 
 You will work closely with AI engineers, platform teams, and architects to build scalable, maintainable, and enterprise-ready agent-based applications.
 
 
 
 
 
 
 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 eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Python / AI 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, development tools, cloud technologies, governance standards, and operational best practices that accelerate software delivery across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain AI agent applications using Python and modern agent frameworks such as LangGraph, Strands, CrewAI, or equivalent.
 </li>
 <li>
 Build intelligent multi-agent workflows with collaboration and delegation capabilities.
 </li>
 <li>
 Integrate AI agents with AWS Bedrock foundation models and related AWS AI services.
 </li>
 <li>
 Develop Agent-to-Agent (A2A) communication using JSON-RPC 2.0, Server-Sent Events (SSE), and related communication patterns.
 </li>
 <li>
 Design and implement automated testing strategies for agent behavior, workflow correctness, and system reliability.
 </li>
 <li>
 Build evaluation frameworks using pytest, LangSmith, and other testing and validation tools.
 </li>
 <li>
 Create reusable components, templates, and pattern libraries that accelerate AI application development.
 </li>
 <li>
 Produce clear technical documentation, implementation guides, and engineering best practices.
 </li>
 <li>
 Collaborate with platform, AI, DevOps, and product teams to deliver scalable and production-ready AI solutions.
 </li>
 <li>
 Monitor, troubleshoot, and optimize agent performance, reliability, and operational efficiency.
 </li>
 <li>
 Promote engineering excellence through observability, testing, governance, and AI application lifecycle best practices.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 4+ years of professional Python software development experience.
 </li>
 <li>
 Hands-on experience with at least one modern agent framework such as LangGraph, Strands, Crew AI, or an equivalent framework.
 </li>
 <li>
 Experience implementing multi-agent collaboration and delegation patterns.
 </li>
 <li>
 Experience integrating applications with AWS Bedrock APIs and foundation models.
 </li>
 <li>
 Knowledge of Agent-to-Agent (A2A) communication patterns, including JSON-RPC 2.0 and Server-Sent Events (SSE).
 </li>
 <li>
 Experience building automated testing frameworks using pytest and AI evaluation tools such as LangSmith.
 </li>
 <li>
 Experience writing technical documentation and creating reusable engineering assets.
 </li>
 <li>
 Strong understanding of software engineering best practices, code quality, and testing methodologies.
 </li>
 <li>
 Excellent problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Hands-on experience with the Strands SDK.
 </li>
 <li>
 Experience with LangSmith tracing, evaluation, and observability.
 </li>
 <li>
 Familiarity with prompt engineering and AI evaluation methodologies.
 </li>
 <li>
 Experience deploying AI applications in AWS cloud environments.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native application development.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Build intelligent multi-agent applications using the latest AI frameworks and AWS Bedrock technologies.
 </li>
 <li>
 Collaborate with experienced architects and AI engineers on innovative cloud-native solutions.
 </li>
 <li>
 Contribute to engineering standards, reusable frameworks, and best practices for enterprise AI development.
 </li>
 <li>
 Be part of a team shaping the future of production-grade AI applications at global scale.
 </li>
 </ul>
 
 
 
</div>

Senior Python / AI Engineer (AWS Bedrock, Multi-Agent AI)

Explore 41+ Production assistant in Cairo this August. Find roles across top companies and apply now to boost your career.