senior devops engineer

ai developer

system engineer, power

ai & automation engineer, light Jobs in Cairo

ai & automation engineer, light

ai engineer

ai platform engineer

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 At TP we deliver excellent service and support. Every colleague commits to the following principles:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Taking ownership.
 
 You hold the request or problem until it is resolved. We do not send people away to another (internal) desk.
 </li>
 <li>
 
 Unburdening colleagues.
 
 We do not say "no, this is not possible". We think along with them and explain how what they want can be achieved in a different way.
 </li>
 <li>
 
 Proactive communication.
 
 If we are not going to meet a deadline you hear it from us proactively, not after the fact.
 </li>
 </ul>
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a Senior CX Platform &amp; Conversational AI Engineer, you design, operate and continuously improve TP's CCaaS and conversational AI capabilities. You ensure that Genesys Cloud, IVR, routing, chat, messaging, voice, integrations and AI-supported customer journeys improve agent productivity, customer experience and account outcomes. The role combines hands-on CCaaS engineering with conversational AI, prompt lifecycle management, ITIL discipline and measurable CX improvement. You treat prompts, bot flows and agent-assist configurations as production artefacts that are versioned, tested, monitored and changed under control. The role contributes directly to business outcomes such as AHT, FCR, containment, CSAT, agent productivity and cost-to-serve, while ensuring platform reliability, secure data handling and operational continuity. You report to the IT Director and work closely with IT Engineering &amp; Development, Service Management, Operations, Business Service &amp; AI Demand Partners and relevant vendors.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Owning the technical lifecycle and operational quality of Genesys Cloud / PureCloud capabilities within the assigned scope.
 </li>
 <li>
 Designing, configuring, operating and improving Genesys Cloud / PureCloud and related CCaaS components.
 </li>
 <li>
 Building and optimising IVR, ACD, chat, SMS/messaging, email routing and channel-spanning customer journeys.
 </li>
 <li>
 Supporting SIP trunks, telephony integration, voice quality, call routing and incident resolution.
 </li>
 <li>
 Integrating CCaaS platforms with CRM, ServiceNow, knowledge bases, agent desktop tools, reporting and conversational AI services.
 </li>
 <li>
 Designing and improving bot flows, intent models, fallback handling, escalation logic and containment optimisation.
 </li>
 <li>
 Supporting LLM-driven summarisation, suggested responses, next-best-action and knowledge retrieval at the point of need (agent assist).
 </li>
 <li>
 Ensuring that AI-supported customer journeys and agent-assist capabilities are designed with appropriate human-in-the-loop, privacy and quality controls.
 </li>
 <li>
 Designing, testing, versioning, monitoring and retiring prompts as production artefacts under change control.
 </li>
 <li>
 Defining and executing test scenarios, regression checks and go-live validation for CX-critical changes.
 </li>
 <li>
 Working with Business Service &amp; AI Demand Partners and Operations stakeholders to translate business and client requirements into measurable CX platform improvements.
 </li>
 <li>
 Supporting and shaping the convergence between CCaaS capabilities and conversational AI within the CX domain.
 </li>
 <li>
 Supporting vendor coordination for Genesys, telephony, conversational AI and integration-related topics.
 </li>
 <li>
 Applying ITIL incident, problem, change and release practices to CX-critical services.
 </li>
 <li>
 Maintaining flow documentation, prompt documentation, runbooks, test scenarios and support guidance.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 At minimum a demonstrable bachelor-level working and thinking ability in IT, engineering, telecommunications, computer science or a related ICT discipline, or equivalent experience.
 </li>
 <li>
 Genesys Cloud certification preferred.
 </li>
 <li>
 ITIL Foundation desirable; practical ITIL experience required.
 </li>
 <li>
 Conversational AI, bot design, prompt engineering or CX automation certification is desirable.
 </li>
 <li>
 Working knowledge of SIP / VoIP, REST APIs, contact-centre fundamentals and omnichannel service delivery is required.
 </li>
 <li>
 Minimum 5 years of experience in CCaaS, contact center technology, telephony or CX platform engineering.
 </li>
 <li>
 Strong hands-on experience with Genesys Cloud / PureCloud, including routing, queues, flows, IVR and platform administration.
 </li>
 <li>
 Working knowledge of SIP, VoIP, trunking, voice quality and telephony troubleshooting.
 </li>
 <li>
 Experience with REST APIs, JSON, webhooks and integration patterns.
 </li>
 <li>
 Experience with ServiceNow ITSM processes required; ServiceNow integration / API experience desirable.
 </li>
 <li>
 Experience with conversational AI, bot flows, intent models, prompt design or agent assist is strongly desirable.
 </li>
 <li>
 Working knowledge of ITIL incident, problem, change and release practices.
 </li>
 <li>
 Strong documentation discipline: flow documentation, prompt documentation, runbooks, test scenarios and operational handover.
 </li>
 <li>
 Ability to work independently in an international remote or hybrid team.
 </li>
 <li>
 English C1 required.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Hands-on Genesys Cloud / PureCloud experience.
 </li>
 <li>
 Strong understanding of IVR, ACD, routing, queues and omnichannel flows.
 </li>
 <li>
 Working knowledge of SIP / VoIP / trunking and voice troubleshooting.
 </li>
 <li>
 Experience with REST APIs, JSON and integration patterns.
 </li>
 <li>
 ITIL incident, problem and change management awareness.
 </li>
 <li>
 ServiceNow ITSM awareness.
 </li>
 <li>
 Strong documentation discipline.
 </li>
 <li>
 English C1.
 </li>
 <li>
 Ability to work independently in an international remote / hybrid environment.
 </li>
 <li>
 Basic conversational AI and prompt engineering awareness, or demonstrable willingness and ability to learn quickly.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Advanced conversational AI design.
 </li>
 <li>
 Prompt lifecycle management.
 </li>
 <li>
 Agent assist design and evaluation.
 </li>
 <li>
 Bot analytics and containment optimisation.
 </li>
 <li>
 Genesys advanced integrations.
 </li>
 <li>
 AI ethics and data compliance in customer interaction environments.
 </li>
 <li>
 Customer journey analytics.
 </li>
 <li>
 ServiceNow API integration.
 </li>
 <li>
 Vendor management and advanced stakeholder communication.
 </li>
 </ul>
 
 
</div>

Senior Full Stack & AI Solutions Developer

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
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 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 Full Stack AI Software Engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 
 About the role
 
 
 
 
 
 We&rsquo;re looking for a Senior Full Stack Software Engineer who can help us build a high performance, scalable e-commerce platform.
 
 
 
 
 You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance software systems using C#, .NET, TypeScript (ES6), React.js, Redux, RxJS, Webpack, and GraphQL
 </li>
 <li>
 Collaborate with a cross-functional team to define, design, and ship new features
 </li>
 <li>
 Lead the system design, testing and coding standards efforts, contributing with clean &amp; high-performance code and architecture
 </li>
 <li>
 Implement modern best practices and patterns in software engineering
 </li>
 <li>
 Mentor software engineers
 </li>
 <li>
 Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented
 </li>
 <li>
 Troubleshoot, debug, and upgrade existing software
 </li>
 <li>
 Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 </li>
 <li>
 5+ years of experience in software development, with a strong background in web development using C#, .NET and React
 </li>
 <li>
 You have a strong engineering mindset and experience in having end to end ownership of the software you build (DevOps, testing, system design, observability, git version control)
 </li>
 <li>
 You have solid experience with reactive programming principles and flux architecture
 </li>
 <li>
 You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design
 </li>
 <li>
 You have a strong drive to continuously improve your craft
 </li>
 <li>
 You have a passion for mentoring and guiding team members
 </li>
 <li>
 You&rsquo;ve fully embraced generative AI tools, and you&rsquo;ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality
 </li>
 <li>
 You are experienced in working in an agile environment
 </li>
 <li>
 You have excellent problem-solving skills
 </li>
 <li>
 Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash;
 
 Work from our Alexandria office 3 days per week
 
 and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Full Stack Software Engineer - Alexandria

BlackStone eIT

<div>
 BlackStone eIT is looking for a skilled AI Engineer to join our innovative team. As an AI Engineer, you will design, develop, and implement artificial intelligence solutions that address complex business challenges. You will work closely with data scientists, engineers, and stakeholders to build scalable AI models and integrate them into product offerings.
 
 
 This position offers a great opportunity to contribute to cutting-edge AI projects and help drive the adoption of AI technologies within our organization. You will be involved in all stages of AI project development, from data collection and preprocessing to model training, deployment, and monitoring.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in AI or machine learning engineering roles
 </li>
 <li>
 Proficiency in programming languages such as Python and experience with AI/ML libraries like TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Knowledge of AI model deployment and monitoring best practices
 </li>
 <li>
 Understanding of data processing, feature engineering, and model evaluation techniques
 </li>
 <li>
 Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 Strong problem-solving abilities and excellent communication skills
 </li>
 <li>
 Experience with cloud computing platforms (AWS, Azure, or GCP) is preferred
 </li>
 <li>
 Familiarity with containerization tools such as Docker is a plus
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 💵 Competitive salary paid in USD
 </li>
 <li>
 🏡 Fully remote - work from anywhere
 </li>
 <li>
 🌎 Work with a diverse international team
 </li>
 <li>
 🚀 Exciting projects and a supportive engineering culture
 </li>
 <li>
 📈 Opportunities to grow technically and professionally
 </li>
 </ul>
</div>

AI Engineer

Intellias

<div>
 
 
 Principal AI/ML Architect &amp; Applied AI Lead
 
 
 
 Over 20 years of market experience, Intellias brings together technologists, creators, and innovators across Europe, North and Latin America, and the Middle East. Join our international team and help solve the advanced technology challenges of tomorrow.
 
 
 
 
 
 
 Project Overview
 
 
 
 We are seeking a highly experienced and hands-on
 
 Principal AI/ML Architect &amp; Applied AI Lead
 
 to drive the design, development, and operationalization of enterprise-scale AI systems across both research and production environments.
 
 
 This role combines deep expertise in Machine Learning, Generative AI, distributed data systems, and cloud-native architectures with strategic leadership capabilities. The ideal candidate will lead complex AI initiatives end-to-end &mdash; from experimentation and research to scalable deployment in global enterprise environments.
 
 
 The position requires a strong balance of:
 
 <ul>
 <li>
 Technical leadership
 </li>
 <li>
 Hands-on implementation
 </li>
 <li>
 AI strategy and innovation
 </li>
 <li>
 Cross-functional collaboration
 </li>
 <li>
 Mentorship and team development
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
 </li>
 <li>
 10+ years of experience in AI/ML, data science, distributed systems engineering, or related domains
 </li>
 <li>
 Proven experience designing and deploying production-grade AI solutions at enterprise scale
 </li>
 <li>
 Strong background in both research-driven and industrial AI environments
 </li>
 <li>
 Experience leading global or distributed technical teams
 </li>
 <li>
 Demonstrated success delivering enterprise AI transformation initiatives
 </li>
 </ul>
 
 
 Technical Expertise
 
 
 
 AI / Machine Learning
 
 <ul>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 Generative AI systems
 </li>
 <li>
 NLP / NLU technologies
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 Agentic AI workflows and orchestration frameworks
 </li>
 <li>
 AI governance and Responsible AI practices
 </li>
 <li>
 MLOps frameworks and operational AI systems
 </li>
 </ul>
 
 
 Data Engineering &amp; Distributed Systems
 
 
 <ul>
 <li>
 Apache Spark
 </li>
 <li>
 Databricks
 </li>
 <li>
 Delta Lake
 </li>
 <li>
 SQL and NoSQL databases
 </li>
 <li>
 Distributed computing architectures
 </li>
 <li>
 Streaming and batch data pipelines
 </li>
 </ul>
 
 
 Cloud &amp; Infrastructure
 
 
 <ul>
 <li>
 Azure and/or AWS
 </li>
 <li>
 Docker and Kubernetes
 </li>
 <li>
 CI/CD pipelines
 </li>
 <li>
 Infrastructure-as-Code (IaC)
 </li>
 <li>
 Cloud-native platform architecture
 </li>
 <li>
 Infrastructure optimization and cloud cost management
 </li>
 </ul>
 
 
 Programming
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Scala
 </li>
 </ul>
 
 
 Additional Qualifications
 
 
 <ul>
 <li>
 Experience building AI platforms serving multiple teams or business units
 </li>
 <li>
 Experience operationalizing AI securely in enterprise environments
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Ability to translate complex technical concepts into business value
 </li>
 </ul>
 
 
 Responsibilities
 
 
 
 AI Architecture &amp; Strategy
 
 <ul>
 <li>
 Lead the design and implementation of AI/ML solutions across multiple business domains
 </li>
 <li>
 Drive enterprise adoption of LLMs, Generative AI, NLP/NLU, and advanced analytics solutions
 </li>
 <li>
 Define AI architecture standards, MLOps best practices, and scalable deployment strategies
 </li>
 <li>
 Evaluate emerging AI technologies and identify opportunities for innovation and operational impact
 </li>
 <li>
 Translate research initiatives into production-ready AI solutions
 </li>
 </ul>
 
 
 Data &amp; Platform Engineering
 
 
 <ul>
 <li>
 Architect scalable distributed data-processing systems for large-scale datasets and real-time pipelines
 </li>
 <li>
 Design and optimize cloud-native AI platforms using modern data engineering frameworks
 </li>
 <li>
 Lead cloud migration and modernization initiatives from on-premises environments to Azure and/or AWS
 </li>
 <li>
 Implement efficient data pipelines leveraging Spark, Delta Lake, Databricks, Kubernetes, and containerized environments
 </li>
 <li>
 Ensure reliability, scalability, observability, security, and cost-efficiency of AI infrastructure
 </li>
 </ul>
 
 
 Generative AI &amp; Conversational Systems
 
 
 <ul>
 <li>
 Design and implement enterprise-grade chatbot and conversational AI platforms
 </li>
 <li>
 Lead development of RAG pipelines, agentic workflows, and LLM orchestration systems
 </li>
 <li>
 Define governance, evaluation, monitoring, and safety strategies for GenAI systems
 </li>
 <li>
 Collaborate with research teams to operationalize LLM-based applications securely and responsibly
 </li>
 </ul>
 
 
 Leadership &amp; Collaboration
 
 
 <ul>
 <li>
 Lead cross-functional teams composed of data scientists, ML engineers, software engineers, and business stakeholders
 </li>
 <li>
 Mentor engineers and researchers on AI/ML best practices, architecture, and software engineering standards
 </li>
 <li>
 Coordinate global AI initiatives across distributed teams and multiple geographies
 </li>
 <li>
 Communicate technical concepts effectively to executive and non-technical audiences
 </li>
 <li>
 Support innovation programs and AI adoption strategies across the organization
 </li>
 </ul>
 
 
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to shape enterprise AI strategy at global scale
 </li>
 <li>
 Work on cutting-edge Generative AI and applied ML initiatives
 </li>
 <li>
 International and collaborative engineering environment
 </li>
 <li>
 Access to modern cloud-native and AI technologies
 </li>
 <li>
 Professional growth, leadership exposure, and innovation-driven culture
 </li>
 </ul>
 
 
</div>

Machine learning Architect

Bosta

<div>
 
 About Bosta:
 
 
 Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.
 
 
 We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.
 
 
 About the role:
 
 
 We&rsquo;re rebuilding Bosta&rsquo;s data platform end-to-end: from MongoDB at the source, through a governed semantic layer that LLM-native tools (NL-to-SQL agents, AI analysts, embedded copilots) can sit on top of safely and cheaply. You will help own that rebuild.This is a hands-on role. You&rsquo;ll set patterns, write the foundational code, and ship across the stack &mdash; from CDC and ingestion through dbt, the semantic layer, and the interfaces that BI tools and AI agents consume.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 End-to-end pipeline work: MongoDB CDC &rarr; ingestion &rarr; lakehouse &rarr; warehouse &rarr; dbt &rarr; semantic layer &rarr; BI/AI consumers
 </li>
 <li>
 Co-ownership of architecture decisions with the Data Engineering Lead
 </li>
 <li>
 CDC from production MongoDB without degrading operational DB performance; ingestion patterns that make adding a new source a config change, not a project
 </li>
 <li>
 Orchestration that&rsquo;s observable end-to-end (Airflow, Dagster, or Prefect)
 </li>
 <li>
 The dbt project: structure, conventions, tests, contracts, exposures, CI
 </li>
 <li>
 The semantic / metrics layer (dbt Semantic Layer, Cube, or equivalent) &mdash; one canonical definition per business metric
 </li>
 <li>
 LLM-readiness: column-level documentation, PII tagging, query cost guardrails, materialized metric tables, and evals on AI-generated SQL
 </li>
 <li>
 Migration of existing logic out of the Tableau and Metabase sprawl into modeled, governed sources
 
 
 
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 4+ years across data engineering and/or analytics engineering &mdash; you&rsquo;ve spent meaningful time on both sides
 </li>
 <li>
 Comfort spanning the stack: comfortable shipping a Debezium connector one week and a dbt mart the next
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 <li>
 Deep dbt and SQL &mdash; you&rsquo;ve owned a non-trivial project, not just contributed to one
 </li>
 <li>
 Production CDC experience (Debezium, Kafka Connect, Airbyte, or hand-rolled) against operational databases &mdash; bonus if that database was MongoDB
 </li>
 <li>
 A cloud warehouse you know deeply (Redshift, Snowflake, BigQuery, or Databricks)
 </li>
 <li>
 Strong Python; comfortable in Linux, infra-as-code, and CI/CD
 </li>
 <li>
 Working understanding of how LLM tooling (RAG, NL-to-SQL, embedded agents) consumes a data platform &mdash; and what breaks when the platform isn&rsquo;t ready
 </li>
 <li>
 Strong opinions on modeling, lightly held; bias toward observability
 
 
 
 
 
 </li>
 </ul>
 
 Bonus:
 
 
 
 <ul>
 <li>
 MongoDB schema evolution at scale
 </li>
 <li>
 Production semantic-layer rollouts (dbt Semantic Layer, Cube, LookML, MetricFlow)
 </li>
 <li>
 Lakehouse formats (Iceberg, Delta, Hudi) or streaming experience (Kafka, Flink, Kinesis)
 </li>
 <li>
 Data catalog / lineage tooling (DataHub, Atlan, Collibra)
 </li>
 <li>
 Logistics, marketplaces, or other operationally heavy domains
 </li>
 <li>
 Evals on AI-generated SQL or analytical reasoning
 
 
 
 
 
 </li>
 </ul>
 Thank you for considering Bosta as your next career step. We value every application we receive, and our selection process is designed to ensure the best fit for both our team and our candidates. We appreciate your patience throughout the process
 
 
 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.
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Senior Data Engineer

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