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ai curriculum developer consultant (egypt) Jobs in Egypt

ai developer

Coca-Cola HBC

<div>
 
 Department: Data Insights &amp; Artificial Intelligence
 
 
 Location: Cairo, Egypt
 
 
 
 Purpose of the Role
 
 
 
 As an AI Developer, you will be responsible for developing and implementing AI-driven solutions in collaboration with business and technical stakeholders. Your focus will be on building innovative AI use cases and prototypes &ndash; including cutting-edge Generative AI solutions &ndash; that unlock new value streams for the company. You will be part of a team driving AI initiatives across our 29+ markets, playing a key role in experimenting with emerging technologies and scaling successful proofs-of-concept into production solutions. We follow a SAFe Agile model, so you&rsquo;ll work within a product-centric team to quickly iterate on ideas, using Azure DevOps to manage your work and ensure continuous integration of new AI capabilities.
 
 
 In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Dive into large and complex datasets to identify patterns and opportunities.
 </li>
 <li>
 Develop reliable ETL pipelines &amp; contribute to the architecture to support the application of generative AI models
 </li>
 <li>
 Apply statistical and machine learning techniques to solve business problems, alongside generative AI models.
 </li>
 <li>
 Spearhead the development of pilot solutions and support the lifecycle of the product.
 </li>
 <li>
 Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
 </li>
 <li>
 Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Work with Agile/SAFe delivery models and respective ways of working.
 </li>
 <li>
 Stay up to date with AI/ML advancements and share knowledge with the team.
 </li>
 </ul>
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
 </li>
 <li>
 2 to 4 years of hands-on experience in data science or AI development
 </li>
 <li>
 Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
 </li>
 <li>
 Problem solving skills, strong analytical mindset and attention to detail
 </li>
 <li>
 Proficiency in Python, Pyspark and SQL.
 </li>
 <li>
 Strong understanding of machine learning and generative AI techniques.
 </li>
 <li>
 Experience with production-ready AI deployments
 </li>
 <li>
 Experience working with big-data-tools. Azure Databricks is a plus.
 </li>
 <li>
 Experience working with big data &amp; AI tools (MS Foundry, Fabric IQ, Copilot Studio, OpenAI, Power Automate). Azure Databricks is a strong plus.
 </li>
 <li>
 Experience in Consumer Product Goods domain is considered a plus.
 </li>
 </ul>
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 :We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve
 
 
 
 .AT COCA-COLA HBC, DIVERSITY HELPS US THRIV
 
 
 
 EIncluding and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value
 
 
 
 
 .
</div>

AI Developer

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We 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 impact.
 
 
 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 growth.
 
 
 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 THRIVE
 
 
 
 At 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 success.
 
</div>

AMIDEAST, Inc.

<div>COMPANY DESCRIPTION 
Established in 1951, Amideast is an American nonprofit organization dedicated to creating hope, opportunity, and mutual understanding among people in the Middle East, North Africa, and United States through life-changing opportunities for education and cultural exchanges. Working with local, regional, and international partners, we provide programs and services that improve educational opportunity and quality, expand access to U.S. study, empower youth and women, strengthen local institutions, and develop language and professional skills for success in the global economy. Headquartered in Washington, D.C., Amideast operates offices in 11 countries in the MENA region. For more information, visit us at www.amideast.org. 
 
POSITION DESCRIPTION

Amideast/Egypt is seeking a qualified AI Curriculum Developer to design and develop a comprehensive Artificial Intelligence (AI) literacy curriculum as part of the English for Career Readiness and AI Literacy (ECRAiL) program. The program targets Egyptian youth aged 18&ndash;30 across multiple cities and aims to strengthen employability through an intensive program combining English for Career Readiness, AI literacy, and Career Engagement Network Activities (CAN).
The AI curriculum component will be delivered over 32 hours within a one-month period and will target participants from technology-related backgrounds, including: 1) Aspiring tech entrepreneurs 2) Entry-level staff at tech companies 3) University students in relevant fields 4) Entry-level government employees in key ministries.

The selected consultant will be responsible for designing an interactive and practical AI curriculum, including all supporting instructional materials.

Tasks &amp; Responsibilities:

 The consultant will be responsible for, but not limited to, the following:
<ul>
<li>Design a structured, logically sequenced AI literacy curriculum aligned with program objectives</li>
<li>Define clear learning outcomes and session objectives for each module</li>
<li>Ensure all content is accurate, up-to-date, and supported by credible references</li>
<li>Develop standardized curriculum materials, with interactive and participatory learning methods</li>
<li>Ensure content is accessible to non-technical participants while maintaining technical relevance</li>
<li>Submit curriculum modules to AMIDEAST for review and incorporate feedback</li>
<li>(If required) Provide orientation and guidance to trainers delivering the curriculum</li>
</ul>
Deliverables:

 The consultant will be expected to deliver the following:
<div>
<ul><li>Curriculum Framework (for initial review and approval by Amideast)
</li></ul><ul><li>Trainer&rsquo;s Guide, including; detailed session plans, teaching methodology, references and additional resources</li></ul>
<ul><li>Participant&rsquo;s Guide is fully developed and professionally edited</li></ul>
<ul><li>Instructional PowerPoint presentations and handouts for all sessions</li></ul>
<ul><li>Session-by-session resource list, including required materials and tools
</li></ul><ul><li>Interactive participatory learning tools (e.g. case studies, simulations, videos)</li></ul>
<ul><li>Assessment plan, including tools to measure participant progress and learning outcomes
</li></ul><ul><li>List of required tools and materials for course delivery.
</li></ul></div>All deliverables must be original and free from plagiarism.

Qualifications:
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field</li>
<li>Experience in developing standardized curriculum manuals, handouts, and PowerPoint (please share sample)</li>
<li>Significant experience with implementing effective instructional best practices</li>
<li>Strong written, verbal, and interpersonal communication skills (English &amp; Arabic)</li>
</ul>
The physical demands and work environment that have been described is representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

This position description is an overview of the major functions and requirements of this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of the position; the Employee&rsquo;s Manager may assign other duties as related or as otherwise deemed appropriate and necessary within the general scope, without the need for additional compensation. 

Amideast is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Positions that involve interaction with children will be required to read, acknowledge, and comply with and attend special training in accordance with the Child Protection and Safeguarding policy. All Amideast representatives must comply with the Code of Conduct and all applicable organizational policies which include but are not limited to, Anti-Human Trafficking and Prevention of Sexual Exploitation and Abuse.</div>

AI Curriculum Developer Consultant (Egypt)

FlairsTech

<div><div><div><div>Requirements and responsibilities<div><h1 class="jobSectionHeader"> 
</h1><h2 class="jobSectionHeader">
AI Product Engineer</h2>
We are looking for an AI Product Engineer to join our team.
Our POS is a leading provider of point of sale and integrated business management solutions built for hospitality and food and beverage businesses. With more than 30 years of industry experience, H&amp;L delivers flexible POS, back of house, inventory, workforce management and reporting systems that help hotels, pubs, restaurants, bars, clubs, caf&eacute;s, liquor retailers and event venues operate efficiently and profitably.
Our platform connects front of house sales with advanced stock control and data management, supports integrations with online ordering, table service and reservations platforms, provides advanced reporting, and integrates with more than 150 hospitality technology partners. Our customer centric approach and deep sector expertise help operators deliver exceptional guest experiences while maintaining visibility, control and sustainable growth across their business.<h3 class="jobSectionHeader">
About the role</h3>
The AI Product Engineer is an AI first builder within our AI Product Engineering capability and AI Pods. This role is responsible for turning customer and business problems into working product solutions by using AI as the default execution medium across design support, implementation, testing, documentation, release preparation and analysis.
This is not a traditional software development role built around rigid handoffs, story point rituals, or narrow ticket execution. The AI Product Engineer moves from problem understanding to working software quickly, while maintaining strong engineering judgment, product awareness, and quality standards.
The role is central to our move toward an agentic product and development lifecycle. It requires end to end ownership across frontend, backend, data, testing, deployment and production reliability. It also requires clear accountability for the areas that must remain human led, including customer problem framing, product judgment, architecture, security, trade off decisions, quality control for edge cases, and release readiness.<h3 class="jobSectionHeader">
What you will do</h3><h4 class="jobSectionHeader">
AI first product building</h4><ul><li>
Build working product solutions using AI as the default approach across coding, testing, debugging, documentation and technical research</li><li>
Rapidly prototype, iterate and refine solutions to validate ideas and accelerate delivery</li><li>
Use AI agents and AI assisted workflows to generate designs, implementations, tests and supporting documentation</li><li>
Contribute to our move toward an agentic product and software delivery model</li></ul><h4 class="jobSectionHeader">
Problem analysis and solution design</h4><ul><li>
Analyse customer and business problems deeply before execution</li><li>
Break ambiguous problems into solvable components and evaluate multiple solution paths</li><li>
Make informed trade-offs between speed, quality, maintainability, security and customer value</li><li>
Apply strong engineering and product judgment to architecture, design and implementation decisions</li></ul><h4 class="jobSectionHeader">
End to end engineering delivery</h4><ul><li>
Build modern, scalable frontend applications using React/Angular and TypeScript</li><li>
Design and implement robust backend services using Node.js</li><li>
Develop and maintain clean, secure and well-structured RESTful APIs</li><li>
Design sound data models and work effectively with relational and non-relational databases</li><li>
Support cloud native services in AWS environments</li><li>
Work with Docker, CI/CD pipelines and automated deployment practices</li><li>
Ensure strong automated test coverage across unit, integration and end to end layers</li></ul><h4 class="jobSectionHeader">
Product and customer value</h4><ul><li>
Partner with Product, Design, Support and customer facing teams to ensure solutions solve real customer problems</li><li>
Participate in customer demos and explain how solutions work and why key design decisions were made</li><li>
Incorporate customer and operational feedback into fast iteration cycles</li><li>
Help ensure shipped capabilities drive measurable adoption, usage and business impact</li></ul><h4 class="jobSectionHeader">
Quality, governance and reliability</h4><ul><li>
Evaluate and improve AI generated outputs for correctness, security, maintainability and fitness for purpose</li><li>
Work within approved AI engineering patterns, tooling standards, review practices and security guardrails</li><li>
Ensure solutions meet both functional and non-functional expectations</li><li>
Support reliable operation in production and continuously improve performance, resilience and maintainability</li><li>
Contribute to engineering review standards for AI generated code, tests and documentation</li></ul><h4 class="jobSectionHeader">
Platform evolution</h4><ul><li>
Develop new product capabilities</li><li>
Integrate customer driven project work into the core platform where appropriate</li><li>
Remove legacy layers and consolidate functionality into a scalable SaaS architecture</li><li>
Refactor incrementally and safely within complex and evolving codebases</li></ul><h3 class="jobSectionHeader">
What this role is not</h3><ul><li>
Not a traditional software developer role focused only on ticket execution</li><li>
Not limited to coding work handed off without context or ownership</li><li>
Not bound by rigid SDLC stages that separate thinking from building</li><li>
Not an AI experimentation role without accountability for quality, adoption and outcomes</li></ul><h3 class="jobSectionHeader">
What success looks like</h3>
Success in this role will be measured through:<ul><li>
Reduced cycle time from problem definition to working solution</li><li>
High quality and reliable shipped outcomes</li><li>
Strong adoption and usage of delivered capabilities</li><li>
Improved engineering leverage and throughput</li><li>
Contribution to customer and commercial outcomes</li><li>
Effective use of AI without compromising quality, security or judgment</li></ul><h3 class="jobSectionHeader">
Requirements</h3><h4 class="jobSectionHeader">
Frontend</h4><ul><li>
Deep experience with React, Angular and TypeScript in production grade applications</li><li>
Strong proficiency in modern JavaScript, HTML5 and CSS3</li><li>
Experience designing scalable and maintainable frontend architectures</li><li>
Experience integrating RESTful APIs</li></ul><h4 class="jobSectionHeader">
Backend</h4><ul><li>
Extensive experience designing and implementing backend systems using Node.js</li><li>
Strong experience building RESTful APIs</li><li>
Solid understanding of relational databases, data modelling and query optimisation</li><li>
Experience with asynchronous processing and system integration</li></ul><h4 class="jobSectionHeader">
Core capabilities</h4><ul><li>
Strong ability to build working software using AI tools and AI assisted engineering workflows</li><li>
Experience rapidly prototyping and iterating on product ideas</li><li>
Understanding of AI system behaviour, limitations and failure modes</li><li>
Ability to reason across systems end to end</li><li>
Comfort moving independently from problem statement to implementation</li><li>
Ability to evaluate and improve AI generated outputs</li><li>
Strong debugging and problem-solving capability</li><li>
Strong understanding of software quality, testing and maintainability</li></ul><h4 class="jobSectionHeader">
Testing and quality</h4><ul><li>
Experience writing automated unit and integration tests</li><li>
Familiarity with end-to-end testing frameworks such as Cypress, Jest, TestCafe or similar</li><li>
Strong understanding of test strategy and testable architecture</li><li>
Experience working with CI/CD pipelines and automated test execution</li></ul><h4 class="jobSectionHeader">
Cloud and operations</h4><ul><li>
Experience working in AWS hosted SaaS environments</li><li>
Experience with Docker and containerised deployments</li><li>
Experience troubleshooting production systems</li></ul><h4 class="jobSectionHeader">
General engineering</h4><ul><li>
Strong architectural thinking across the full stack</li><li>
Experience working in complex and evolving codebases</li><li>
Proven ability to refactor legacy systems incrementally and safely</li><li>
Strong debugging and performance optimisation skills</li><li>
Experience mentoring engineers or leading technical initiatives</li></ul><h3 class="jobSectionHeader">
Nice to have</h3><ul><li>
Experience with event driven systems such as Kafka</li><li>
Familiarity with monitoring and observability tooling</li><li>
Experience integrating AI APIs into business workflows</li><li>
Knowledge of DevOps best practices and infrastructure automation</li><li>
Experience in hospitality, retail, POS, or other multi-site operational SaaS environments</li></ul></div></div></div></div></div>

AI Product Engineer

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

York Towers

<div>
 Dwelleo is a Saudi AI-powered PropTech platform redefining how real estate decisions are made. From buying and renting to selling and investing, we combine verified data, intelligent insights, and complete transparency &mdash; empowering users to understand the market clearly and make confident decisions at every step.
 
 
 
 About Dwelleo
 
 
 
 Dwelleo is an AI-powered real estate marketplace transforming how people search, buy, sell, and rent properties across Saudi Arabia.
 
 
 The platform combines machine learning, intelligent discovery tools, and data-driven insights to connect buyers, renters, brokers, and developers through a seamless, scalable digital experience.
 
 
 At its core, Dwelleo embeds AI directly into the product &mdash; powering pricing, recommendations, search, and decision-making across the entire property journey.
 
 
 
 About The Role
 
 
 
 You'll work across the full AI surface area of a live product. Your work will span classical ML (pricing, forecasting) and modern LLM systems (agents, RAG, voice), with real engineering expectations around reliability, observability, and production quality. Research here is always in service of shipping &mdash; experimentation exists to accelerate delivery, not replace it.
 
 
 You'll work within a dual-track Agile structure: a
 
 Research sprint
 
 for experimentation and model development, and an
 
 Engineering sprint
 
 for deployment, integration, and reliability work. You'll contribute to both.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Ship predictive models for property price estimation, rent forecasting, and ROI analysis &mdash; from feature engineering through production deployment on AWS ECS with canary release practices
 </li>
 <li>
 Build and maintain LLM-powered multi-agent systems, including deterministic state machines, scoring engines, guardrail layers, and escalation logic that runs reliably at scale
 </li>
 <li>
 Develop and improve RAG pipelines with vector-based retrieval (FAISS, pgvector) for property search and AI-assisted advisory features
 </li>
 <li>
 Expose AI capabilities as FastAPI microservices with autoscaling, versioning, and production-grade reliability
 </li>
 <li>
 Integrate and improve STT/TTS speech pipelines connected to telephony infrastructure &mdash; Arabic dialect support is a meaningful plus
 </li>
 <li>
 Own observability across the stack: drift detection, latency monitoring, alerting, and model performance dashboards
 </li>
 <li>
 Collaborate closely with product and engineering across both sprint tracks, translating research outcomes into shippable systems
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 What we're looking for
 
 
 
 <ul>
 <li>
 3&ndash;6 years of hands-on experience in ML engineering, AI engineering, or a closely related role &mdash; with at least some of that time shipping to production
 </li>
 <li>
 Strong Python skills with a track record of production deployment (not just notebooks)
 </li>
 <li>
 Solid ML fundamentals: supervised learning, gradient boosting (XGBoost / LightGBM), feature engineering, model evaluation, and retraining workflows
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Anthropic, or open-source models) and practical RAG pipeline implementation
 </li>
 <li>
 Experience building and deploying ML microservices using FastAPI
 </li>
 <li>
 Working knowledge of CI/CD for ML workloads &mdash; you've set up or maintained pipelines using tools like GitHub Actions, MLflow, or equivalent
 </li>
 <li>
 Comfortable working in English; Arabic is not required but welcome
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 STT/TTS integration or voice pipeline engineering &mdash; Arabic dialect experience is a strong plus
 </li>
 <li>
 AWS hands-on experience: ECS, S3, RDS
 </li>
 <li>
 Familiarity with geospatial data and similarity search (Ball Tree, FAISS, pgvector)
 </li>
 <li>
 Background in lead scoring, content moderation, or recommendation systems
 </li>
 <li>
 Experience with MLflow, experiment tracking, or model registry workflows
 </li>
 <li>
 Real estate or PropTech domain exposure
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Location: Fully remote
 </li>
 <li>
 Team: You'll report directly to the AI Team Lead
 </li>
 <li>
 Direct ownership of production AI systems with measurable user and business impact
 </li>
 <li>
 A technically ambitious environment working at the intersection of AI and one of the region's most active real estate markets
 </li>
 </ul>
</div>

AI Engineer

Minapharm Pharmaceuticals

<div>
 
 
 
 
 About Minapharm:
 
 
 
 
 
 Minapharm Pharmaceuticals is a leading pharmaceutical company in Egypt and the Middle East and the largest end-to-end manufacturer of biological therapies in MEA with over 20 years of experience in cellular and bioprocess engineering. Headquartered in Cairo, Minapharm commercializes over 100 life-saving and life-enhancing products ranging from small molecules to complex bioengineered proteins and viral vectors, with an impressive immunotherapy pipeline. Together with its wholly-owned Berlin-based subsidiary, ProBioGen AG - a world-leading CDMO, Minapharm has established an integrated business model making it the only gene-to-market company in the region. Consolidating its international platform of intelligent biopharmaceutical technologies with the longstanding process development and manufacturing expertise in the MEA, Minapharm, together with ProBioGen, has incorporated MiGenTra GmbH headquartered in Berlin and manufacturing in Cairo, to enhance the accessibility to critical healthcare transforming medicines through product development and commercialization of Biosimilar mABs, Cell, and Gene Therapies and vaccines, at affordable prices in Egypt, and MEA.
 
 
 
 
 
 
 
 
 Our Core Values:
 
 
 
 
 <ul>
 <li>
 Diversity &amp; Respect
 </li>
 <li>
 Integrity &amp; Accountability
 </li>
 <li>
 Collaboration
 </li>
 <li>
 Leadership &amp; Empowerment
 </li>
 <li>
 Innovation &amp; Continuous Learning
 </li>
 </ul>
 
 
 
 
 
 Job Mission:
 
 
 
 Deliver scalable agentic AI and automation solutions for pharmaceutical operations by architecting end-to-end systems, integrating advanced frameworks, and conducting applied research to ensure performance, compliance, and innovation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 - Architect and implement robust end-to-end AI and automation solutions tailored to
 
 
 complex pharmaceutical business needs.
 
 
 
 
 
 - Research, compare, and evaluate multiple AI/ML approaches to solve specific business
 
 
 and scientific problems.
 
 
 
 
 
 - Design, build, and operate agentic AI systems that automate knowledge work and
 
 
 operational workflows&mdash;leveraging tools like OpenAI Agents SDK, n8n AI Agent
 
 
 nodes, and Perplexity&rsquo;s APIs; select the right framework (e.g., LangGraph, CrewAI,
 
 
 AutoGen/Microsoft Agent Framework) for each use case.
 
 
 
 
 
 - Integrate agents with internal and external tools using the Model Context Protocol
 
 
 (MCP); build/extend MCP servers to safely connect agents to data sources, SaaS, and
 
 
 developer tools.
 
 
 
 
 
 - Do applied research &amp; comparative studies: quickly run literature/tooling reviews,
 
 
 benchmark options, present trade-off analyses, and implement the most performant and
 
 
 compliant solution.
 
 
 
 
 
 
 Required Qualifications:
 
 
 
 - 2+ years of experience in AI/ML engineering or advanced automation development.
 
 
 
 
 
 - Deep understanding of machine learning principles, reinforcement learning, and data
 
 
 science methodologies.
 
 
 
 
 
 - Expert in Python, modern software engineering practices, and database technologies
 
 
 (SQL/NoSQL).
 
 
 
 
 
 - Strong knowledge and practical experience with LLMs, generative AI, and AI agent
 
 
 design.
 
 
 
 
 
 - Modern AI stack expertise: LLMs (prompting, tool-use, function-calling), OpenAI
 
 
 Agents SDK, n8n AI Agent, and at least one agent framework (LangGraph /
 
 
 LlamaIndex / CrewAI / AutoGen).
 
 
 
 
 
 - Hands-on experience with orchestration tools like n8n, Airflow, or Prefect.
 
 
 
 
 
 - Familiarity with tools like OpenAI, Perplexity, AWS AI/ML services, Google AI
 
 
 (Gemini), and LangChain.
 
 
 
 
 
 - Excellent analytical, problem-solving, and communication skills in English.
 
 
 
 
 
 - Ability to present research, benchmark models, and recommend data-driven strategies.
 
 
 
</div>

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