junior/standard software engineer, power Jobs in Cairo Egypt

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assistant manager demand planning Jobs in Cairo Egypt

assistant manager demand planning

planning engineer

Shift EV

<div>
 
 About Shift Ev
 
 
 
 Shift EV is on a mission to electrify transportation and accelerate the global shift to sustainable mobility. Founded in 2021, we developed the first automotive grade industrial retrofitting process to reduce the cost and speed of electrification by an order of magnitude. Our business today spans MENA and Europe, financed by category leading investors. We empower our people with the responsibility to drive change at scale. At Shift EV, your ideas don&rsquo;t just matter &mdash; they shape a more sustainable world. Join us and be part of something bigger: the future of electric mobility.
 
 
 
 You&rsquo;ll Work On
 
 
 
 You will work on developing new battery designs to be utilized at the heart of e-mobility solutions as well as to accelerate the adoption of e-mobility. You will follow through from specification to advanced stages of the product: based on the performance requirement, ensure comprehensive qualification and validation of the design, work alongside production and quality teams to ensure that scaled up products meet required specifications, and address inadequate product performance if necessary.
 
 
 
 You'll Have Ownership Over
 
 
 
 <ul>
 <li>
 Developing specifications and design of battery packs of different sizes for use in electric vehicles.
 </li>
 <li>
 Sizing &amp; Selecting components for battery packs and designing parts/subsystems inside battery packs.
 </li>
 <li>
 Designing structural elements, housings and fixations for Battery packs.
 </li>
 <li>
 Collaborating closely with the team for prototyping and testing your designs and making adjustments as needed from initial research and proof of concept to development of the final product version.
 </li>
 <li>
 Provide support throughout the planning of manufacturing of the electrical systems as well as through the manufacturing.
 </li>
 <li>
 Success:
 </li>
 <li>
 In 30 days: you will have developed a full design of your first product as well as initiated its prototyping and testing
 </li>
 <li>
 In 60 days: you will have tested your first product and initiated the planning for the small scale manufacturing plan.
 </li>
 <li>
 In 90 days: You will be overseeing the testing of the small production phase as well as collaborating with the team to scale up the production as needed according to our commercial plan. You will also work on design improvement based on testing as well as the company&rsquo;s plan
 
 
 </li>
 </ul>
 
 You Are
 
 
 
 <ul>
 <li>
 An energy engineer, renewable energy engineer or mechatronics engineer with a strong background in both electrical and mechanical engineering and a proven record of experience in the fields of energy storage, 3D CAD design, modeling and simulations.
 </li>
 <li>
 A self-initiator who is naturally energized by new ideas and insights from others, able to prioritize projects, communicate progress, and deliver on time.
 </li>
 <li>
 Up-to date on latest technologies to continue to accelerate in-house technology development that will provide benefits in the ways of safety, reliability and cost
 </li>
 <li>
 Experienced using a variety of design, implementation and simulation tools such as Solid works, AutoCAD, Ansys or Simulink.
 
 
 </li>
 </ul>
 
 What To Expect From Us
 
 
 
 <ul>
 <li>
 A startup where your work and contributions really count, growth-opportunity in a variety of skills and career directions
 
 
 </li>
 </ul>
 Shift EV is an equal opportunity employer and promotes diversity
</div>

Battery Design Engineer

Americana Restaurants

<div>
 
 Are you an Engineer who thrives on turning demand into executable MRP plans? Do you love dynamic environment, optimizing inventory, and driving data‑powered decisions?
 
 
 At Americana (Egypt), you&rsquo;ll own the planning cycle across local &amp; imported materials&mdash;aligning demand &amp; supply and partnering across Procurement, Logistics, Finance &amp; Operations to deliver OTIF excellence. You&rsquo;ll also level‑up our analytics&mdash;Power BI, Power Query, and automation tools&mdash;to unlock speed and precision.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 To ensure that strategic material planning processes are in place to enable operational and production continuity.
 </li>
 <li>
 Takes a coordinating lead, working closely with internal and external parties to ensure supply of materials is in place to satisfy production requirements.
 </li>
 <li>
 Deliver efficient, effective, and flexible solutions to meet production requirements. This role holds people and budgetary management responsibilities dependent on the size and structure of the organization.
 </li>
 <li>
 Contribute to the creation and implementation of best practice MP&amp;L vision, strategy, policies, processes, and procedures to aid and improve operational performance.
 </li>
 <li>
 Ensure that material scheduling strategy and processes are in place and work effectively to ensure material supply meets production requirements, whilst optimizing costs.
 </li>
 <li>
 Collaborate with internal and external stakeholders to forecast, plan and facilitate on-time materials to the production line as and when required avoiding disruption to production.
 </li>
 <li>
 Ensure that any Material Requirements Planning system (MRP) or IT system in place is effective and that data is accurate and up to date and resolve any issues as required Investigate and implement system enhancement initiatives.
 </li>
 <li>
 Design, develop and implement processes and work with suppliers on continuous improvement initiatives.
 </li>
 </ul>
 
 
 
 
 You&rsquo;ll bring:
 
 <ul>
 <li>
 Engineering degree (Industrial/Mechanical or relevant)
 </li>
 <li>
 5&ndash;8+ yrs in Supply Chain Planning with hands‑on MRP experience (Oracle Fusion or similar)
 </li>
 <li>
 Leadership of planners; outstanding communication &amp; prioritization
 </li>
 <li>
 Bonus: Power BI, Power Query, and automation (VBA/Python)
 </li>
 </ul>
 
 
</div>

Assistant Manager Supply Chain

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 8&ndash;10 years total software/ML engineering experience, with 5+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 
 How You&rsquo;ll Work
 
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 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>

Principal Machine Learning Engineer

Nexus Analytica

<h2>Nexus Analytica is seeking a Project Manager – Renewable Energy Consulting to lead and coordinate consulting assignments related to renewable energy, grid integration, BESS, power-sector reform, and project agreements.</h2> This role is focused on advisory project management rather than contractor-side site execution. The selected candidate will manage project delivery, client coordination, timelines, risks, reporting, and internal workstreams across multidisciplinary consulting assignments. This reflects Nexus Analytica’s established project delivery approach, which includes schedule control, scope supervision, change management, stakeholder communication, risk management, and quality assurance. <h3> </h3><h3>Key Responsibilities</h3><ul><li>Lead the planning, coordination, and execution of consulting projects in renewable energy, power systems, BESS, and related infrastructure advisory.</li><li>Manage project schedules, deliverables, milestones, resources, and reporting processes.</li><li>Coordinate multidisciplinary teams across technical, financial, commercial, and regulatory workstreams.</li><li>Act as the main interface with clients, partners, utilities, ministries, and other project stakeholders.</li><li>Monitor project scope, identify changes, maintain action trackers, and support change management processes.</li><li>Track project risks, issues, dependencies, and mitigation actions to ensure timely and high-quality delivery.</li><li>Oversee the preparation of reports, presentations, technical notes, and client deliverables.</li><li>Support procurement-related assignments, consultancy supervision, and implementation coordination where relevant.</li><li>Organize and facilitate meetings, workshops, and capacity-building sessions with clients and stakeholders.</li><li>Contribute to proposal preparation, methodology development, and business development activities.</li></ul> These responsibilities reflect Nexus’s documented delivery model, including project preparation, procurement process support, financial management, consultancy services supervision, capacity building, stakeholder interaction, and quality-controlled reporting. <h3>Required Qualifications</h3><ul><li>Bachelor’s degree in Engineering, Energy Systems, Project Management, Economics, Business, or a related field.</li><li>5 to 10 years of relevant experience in project management, consulting, infrastructure advisory, renewable energy, or power-sector assignments.</li><li>Experience coordinating multidisciplinary teams and managing client-facing consulting projects.</li><li>Good understanding of renewable energy projects, project agreements, grid-related assignments, or infrastructure development processes.</li><li>Strong organizational, communication, reporting, and stakeholder management skills.</li><li>Strong written and spoken English.</li><li>Arabic is an advantage.</li></ul><h3> </h3><h3>Preferred Qualifications</h3><ul><li>Master’s degree in a relevant field.</li><li>PMP certification or equivalent project management training is an advantage.</li><li>Experience with renewable energy projects, BESS, project preparation, procurement support, or owner’s engineer / advisory assignments.</li><li>Familiarity with project planning tools such as Microsoft Project, Excel, and collaboration/document-control platforms.</li><li>Experience working with governmental entities, utilities, development partners, or private developers in Egypt, MENA, or Africa is an advantage.</li></ul> The emphasis on planning, reporting, scope control, schedule adherence, and QA/QC is consistent with Nexus’s own project management methodology, which explicitly references PMI-based practices, Microsoft Project, formal scope-change logging, regular stakeholder communication, monthly progress reporting, and four-eye quality review of deliverables. <h3> </h3><h3>Skills</h3><ul><li>Project planning and coordination</li><li>Stakeholder management</li><li>Schedule and milestone tracking</li><li>Risk and issue management</li><li>Scope and change management</li><li>Client communication</li><li>Report writing and presentation</li><li>Multidisciplinary team coordination</li></ul><h3> </h3><h3>What We Offer</h3> <ul><li>Opportunity to work on high-impact renewable energy and power-sector consulting projects</li><li>Exposure to multidisciplinary assignments across technical, financial, commercial, and regulatory topics</li><li>A collaborative and intellectually stimulating work environment</li><li>Professional growth in a fast-evolving energy consulting firm</li></ul><h3> </h3>

Project Manager

<div>
 
 
 Company Overview:
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at
 
 www.dar.com
 
 .
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 The MLOps Engineer will streamline and automate the deployment, monitoring, and scaling of machine learning models in production. This role bridges the gap between data science and operations to ensure reliable, efficient, and continuous model delivery within the AEC technology ecosystem.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 The role includes, but is not limited to:
 
 <ul>
 <li>
 Maintain ML pipelines, including data and model versioning, for re-training, testing, and deployment.
 </li>
 <li>
 Implement automated CI/CD workflows for machine learning models and data pipelines.
 </li>
 <li>
 Monitor model performance using KPIs and metrics, ensuring system reliability in production.
 </li>
 <li>
 Manage infrastructure, version control, and model reproducibility using cloud, on-prem, and containerization tools.
 </li>
 <li>
 Integrate MLOps modules into the existing AI platform to enhance operational efficiency.
 </li>
 <li>
 Optimize cost, performance, and scalability of ML environments.
 </li>
 <li>
 Collaborate with data scientists, AI engineers, computational designers, and design engineers to embed advanced digital solutions into enterprise workflows.
 </li>
 <li>
 Stay current with MLOps trends and recommend improvements to existing systems and processes.
 </li>
 <li>
 Support project planning, documentation, and presentations.
 </li>
 <li>
 Mentor colleagues and contribute to knowledge sharing within the team.
 </li>
 </ul>
 
 
 
 
 
 Values Alignment
 
 
 <ul>
 <li>
 Demonstrates analytical thinking, independence, professionalism, transparency, and accountability.
 </li>
 <li>
 Communicates effectively and fosters collaboration across cross-functional teams.
 </li>
 <li>
 Upholds quality outcomes while embodying the organization&rsquo;s core values in all actions.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, Artificial Intelligence, Data Engineering, or a related field.
 </li>
 <li>
 1&ndash;3 years of professional experience in at least three of the following: ML deployment, automated CI/CD, ML monitoring, machine learning, deep learning, LLMs, NLP, reinforcement learning, or computer vision.
 </li>
 <li>
 Strong proficiency in Python, C#/C++, and SQL.
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Hands-on experience with ML frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Docker, Kubernetes).
 </li>
 <li>
 Knowledge of CI/CD systems, data versioning, and monitoring tools.
 </li>
 <li>
 Excellent problem-solving, collaboration, software development, and automation skills.
 </li>
 <li>
 Familiarity with AEC tools (Revit, Rhino, AutoCAD, Navisworks) is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
 
 
</div>

MLOps Engineer

Coca-Cola HBC

<div>
 
 
 Department
 
 : Enabling Technology
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 
 As a Network Engineer will join the Network &amp; Communications Services Team, reporting to the Product Manager of the area. This role is responsible for designing, engineering, implementing, and operating secure, scalable network connectivity across cloud (Microsoft Azure), multi-cloud (Azure, AWS, Google), hybrid, on-premises (LAN, WAN, Wi-Fi, Perimeter firewalling, SASE), and remote access environments
 
 
 
 
 
 
 .
 
 YOUR NEW KEY RESPONSIBILITIE
 
 
 
 S:&bull; Deploy and operate secure network connectivity across Azure, multi-cloud, hybrid, on-premises, and remote access environment
 
 
 s.&bull; Deploy and support Azure networking services including VNets, vWAN, Azure Firewall, NSGs, Load Balancers, Application Gateway, ExpressRoute, and VPN Gateway
 
 
 s.&bull; Implement and maintain resilient hybrid and multi-cloud connectivity (VPN, ExpressRoute, Direct Connect, SD-WAN, inter-cloud peering
 
 
 ).&bull; Operate, maintain, and troubleshoot on-premises LAN/WAN infrastructure, including routing, switching, Wi-Fi, load balancing, network segmentation, perimeter firewalls, and SD-WAN environment
 
 
 s.&bull; Integrate Azure cloud networking with on-premises and data center environment
 
 
 s.&bull; Troubleshoot complex network issues and lead technical escalations with managed service providers and cloud vendor
 
 
 s.&bull; Monitor network performance, conduct capacity planning, and optimize cloud and on-prem network service
 
 
 s.&bull; Collaborate with Network Architecture and Cyber Security teams to ensure compliance with security, governance, and enterprise standard
 
 
 s.&bull; Develop and maintain infrastructure-as-code and automation using Terraform, Ansible, PowerShell, and Pytho
 
 
 n.&bull; Maintain technical documentation, network diagrams, and operational runbook
 
 
 s.&bull; Involvement in medium-to-complex network integrations projects, requiring communication and entry-level project management skill
 
 
 s.&bull; Provide support for internal teams and coordinate activities with external vendors during medium and complex level troubleshooting case
 
 
 
 
 
 
 s.
 
 ARE THESE YOUR SECRET INGREDIEN
 
 
 
 TS?&bull; Bachelor&rsquo;s degree in computer science or equivalent hands-on experien
 
 
 ce.&bull; 4+ years proven experience as a Network / Cloud Network Engineer with strong focus on Azure networki
 
 
 ng.&bull; Microsoft Certified: Azure Solutions Architect Expert or equivalent certificatio
 
 
 ns.&bull; Industry certifications from Cisco, Fortinet and Zscaler are considered as an advanta
 
 
 ge.&bull; Deep knowledge of Azure networking services including VNets, vWAN, ExpressRoute, VPN Gateway, Azure Firewall, NSGs, WAF, and hybrid connectivity mode
 
 
 ls.&bull; Experience working in hybrid and multi-cloud environments; familiarity with AWS, Google Cloud Platform is an advanta
 
 
 ge.&bull; Strong understanding of enterprise networking technologies (routing, switching, WAN, Wi-Fi, load balancing, segmentation, SD-WA
 
 
 N).&bull; Strong understanding of network and application security principles, including Zero Trust, firewalls, IDS/IPS, and secure remote acce
 
 
 ss.&bull; Working knowledge of network automation and infrastructure-as-code using Terraform, Ansible, PowerShell, and/or Pyth
 
 
 on.&bull; Experience working in Agile / SAFe environments and collaborating with DevOps mod
 
 
 el.&bull; Strong troubleshooting skills in complex, distributed environmen
 
 
 ts.&bull; Excellent communication and collaboration skills, including vendor and service-provider coordinati
 
 
 on.&bull; Fluent written and spoken Engli
 
 
 
 
 
 
 sh.
 
 ABOUT YOUR NEW
 
 
 
 TEAMWe are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental imp
 
 
 act.We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for gro
 
 
 wth.We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can
 
 
 be.And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN
 
 
 
 
 
 
 UP.
 
 AT COCA-COLA HBC, DIVERSITY HELPS US T
 
 
 
 HRIVEAt Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective suc
 
 
 
 
 cess.
</div>

Network Engineer

almentor

<div>
 
 
 About almentor
 
 : almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
 
 
 
 
 
 
 Our Mission:
 
 🚀 almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
 
 
 
 
 
 
 Job Overview:
 
 
 
 Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
 
 
 
 
 
 We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
 
 
 
 
 
 We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
 
 
 Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
 
 
 
 
 
 
 As a Senior Data / AI Engineer, your'll spend your time on:
 
 
 <ul>
 <li>
 Blending data engineering, applied AI implementation, and operational ownership.
 </li>
 <li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.
 </li>
 <li>
 Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG).
 </li>
 <li>
 Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.
 </li>
 <li>
 Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data.
 </li>
 <li>
 Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).
 </li>
 <li>
 Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring.
 </li>
 <li>
 Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.
 </li>
 <li>
 Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.
 </li>
 <li>
 Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.
 </li>
 <li>
 Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.
 </li>
 <li>
 A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study
 </li>
 <li>
 Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.
 </li>
 </ul>
 
 
 Role Objectives
 
 
 <ul>
 <li>
 Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.
 </li>
 <li>
 Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.
 </li>
 <li>
 Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.
 </li>
 <li>
 Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.
 </li>
 <li>
 Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.
 </li>
 <li>
 Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.
 </li>
 <li>
 Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org.
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate will have:
 
 
 <ul>
 <li>
 4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.
 </li>
 <li>
 Strong SQL and data modeling skills; experience designing schemas and data contracts.
 </li>
 <li>
 Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.
 </li>
 <li>
 Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).
 </li>
 <li>
 Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.
 </li>
 <li>
 Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).
 </li>
 <li>
 Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field is preferred but not required
 </li>
 </ul>
</div>

Senior Data & Applied AI Engineer

Explore 150+ Planning engineer in Cairo Egypt this April. Find roles across top companies and apply now to boost your career.