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ai & automation engineer, light Jobs in Egypt

ai & automation engineer, light

principal ai engineer

Finaira

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

Principal AI Engineer

<div>The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. 
Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
The difference you will make:<ul><li>
Provide technical leadership, guidance, and mentorship to a team of AI Engineer.</li><li>
Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.</li><li>
Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.</li><li>
Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.</li><li>
Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.</li><li>
Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.</li><li>
Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.</li><li>
Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.</li><li>
Act as a primary technical point of contact for stakeholders regarding AI solutions.</li><li>
Hands-on contribution to critical code components, architectural design, and complex problem-solving.</li></ul> 

Requirements 
What you will bring to the role:
Education:<ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.</li></ul>
Experience:<ul><li>
8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.</li></ul>
Technical Skills:<ul><li>
Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).</li><li>
Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.</li></ul><ul><li>
In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong architectural skills for building robust, scalable, and maintainable AI infrastructures.</li><li>
Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.</li><li>
Excellent understanding of data engineering principles, data governance, and database technologies.</li><li>
Ability to evaluate and make sound technical decisions on complex trade-offs.</li></ul>
Soft Skills:<ul><li>
Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership.</li><li>
Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives.</li><li>
Strong mentoring and coaching skills, with a passion for developing the talents of junior team members.</li><li>
Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Principal Software Engineer Evangelist
 
 to join Procore&rsquo;s Infrastructure Platform division to work on our commercial initiatives. In this role, you&rsquo;ll help build and evangelize Procore&rsquo;s next-generation construction compute platform for others to build upon, including Procore developers, analysts, partners, and customers.
 
 
 As a
 
 Principal Software Engineer Evangelist
 
 , you&rsquo;ll partner with other engineers and product managers across Product &amp; Technology to develop and maintain compute platform capabilities that enable SaaS based products to operate in a secure and compliant environment. A core part of this role is focusing on internal developer enablement, ensuring a seamless platform experience, and evangelizing platform features and best practices. To be successful in this role, you&rsquo;re passionate about distributed systems on the cloud with experience in operating and maintaining cloud based products at-scale. If you&rsquo;re an engineer comfortable and excited about building our next-generation platform and translating problems into pragmatic solutions that open up the boundaries of technical possibilities&mdash;we&rsquo;d love to hear from you!
 
 
 This position reports to the Enablement Manager for Infrastructure Platform and will be based in our Cairo office. We&rsquo;re looking for someone to join us immediately.
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Lead in the design and implementation of our next-generation platform for the construction industry, primarily focused on building and supporting distributed systems, internal developer experience, and ease of adoption.
 </li>
 <li>
 Act as a platform evangelist, creating documentation, leading training sessions, and sharing best practices to enable internal engineering teams to utilize platform features effectively.
 </li>
 <li>
 Drive and support the engineering team in all phases of the software development lifecycle, ensuring platform stability, observability, and compliance.
 </li>
 <li>
 Help identify and propose solutions for technical gaps in our platform by running proof of concepts and experiments, with a keen eye on the latest advancements in the Kubernetes ecosystem.
 </li>
 <li>
 Work alongside our Product, UX, and IT teams, leveraging your expertise to influence our product roadmap and deliver innovative solutions that enhance developer productivity.
 </li>
 <li>
 Stay up to date with the latest platform and Kubernetes technology trends, and advocate for their adoption where appropriate.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 6+ years of experience maintaining application services in kubernetes clusters.
 </li>
 <li>
 Experience provisioning and operating cloud native tools at scale.
 </li>
 <li>
 3+ years of experience as a CKD.
 </li>
 <li>
 6+ years of experience operating cloud-based, highly available, distributed, and scalable systems with large amounts of data.
 </li>
 <li>
 Experience and proficiency in composing and maintaining kubernetes manifests, such as Helm and Kustomize.
 </li>
 <li>
 Experience and proficiency in managing infrastructure as code, such as Terraform.
 </li>
 <li>
 Experience in advising development and customized automation for CI/CD pipelines and building container images.
 </li>
 <li>
 Experience with AWS (RDS, EC2, S3, IAM etc.)
 </li>
 <li>
 Proven ability to lead technical enablement initiatives, mentor engineers, and drive the adoption of new platform features.
 </li>
 </ul>
</div>

Principal Software Engineer Evangelist - Infrastructure Platform

<div>The Principal Software Engineer provides strategic technical leadership and direction for software development initiatives across the organization, particularly within the financial sector. This role is responsible for defining technical vision, setting architectural standards, mentoring senior engineers, and collaborating with leadership to deliver high-impact, scalable, and secure software solutions that align with business strategy.
The difference you will make:
<ul><li>Define the overall software architecture and technical vision for projects and products.</li><li>
Lead the design and implementation of complex, enterprise-level software systems.</li><li>
Establish and enforce coding standards, architectural guidelines, and best practices across development teams.</li><li>
Provide technical leadership and mentorship to senior software engineers and architects.</li><li>
Drive innovation by evaluating and recommending new technologies and architectural patterns.</li><li>
Connect with industry bodies and specifications to define the guidelines for Software Engineering in the AI FinTech space</li><li>
Collaborate with product management and stakeholders to define technical roadmaps and ensure alignment with business objectives.</li><li>
Oversee the development and implementation of comprehensive testing strategies, including performance and security testing.</li><li>
Lead troubleshooting efforts for critical production issues and guide the development of robust solutions.</li><li>
Act as a key technical point of contact and provide guidance on complex technical challenges.</li><li>
Contribute to strategic planning and decision-making regarding technology direction and resource allocation</li></ul> 

Requirements 
What you will bring to the role:
Education:
<ul><li>Bachelor&rsquo;s degree in computer science, Software Engineer 1ing, or a related field; Master's degree preferred.
</li></ul>Experience:
<ul><li>8+ years of progressive experience as a Software Engineer 1, with more than 2 years in leading technical teams and architecting complex systems.
</li><li>Deep experience in developing scalable, high-performance, and secure applications, preferably within the financial services industry.
</li></ul>Technical Skills:<ul><li>
Expert-level mastery in multiple core programming languages.</li><li>
Deep understanding of various software development frameworks and technologies.</li><li>
Extensive experience in designing and implementing distributed systems, microservices architectures, and cloud-native solutions (AWS, Azure, GCP).</li><li>
Deep expertise in database design and optimization (SQL and NoSQL).</li><li>
Proven ability to define and enforce architectural patterns and best practices.</li><li>
Strong understanding of security principles and implementation of secure coding practices.</li><li>
Experience with a wide range of development tools and methodologies (Agile, DevOps).</li></ul>
Soft Skills:
<ul><li>Exceptional leadership, communication, and interpersonal skills.</li><li>
Proven ability to influence and drive technical direction.</li><li>
Strong strategic thinking and problem-solving abilities.</li><li>
Excellent mentoring and coaching skills.</li><li>
Ability to collaborate effectively with diverse teams and stakeholders at all levels.</li><li>
Strong business acumen and the ability to align technical solutions with business goals.</li><li>
Demonstrated discipline, reliability, and a commitment to excellence.</li><li>
Excellent command of English language, both verbal and written.</li><li>
Proactive self-learner with a passion for innovation and technology leadership.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Principal Software Engineer

YO IT Consulting

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and manage data pipelines to support complex AI agent training initiatives.
 </li>
 <li>
 Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
 </li>
 <li>
 Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
 </li>
 <li>
 Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
 </li>
 <li>
 Contribute to the optimization of AI models through effective data engineering practices.
 </li>
 <li>
 Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
 </li>
 <li>
 Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
 </li>
 <li>
 Strong understanding of AI concepts and experience in training AI agents.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
 </li>
 <li>
 Experience implementing robust data pipelines and scalable architecture for machine learning projects.
 </li>
 <li>
 Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field.
 </li>
 <li>
 Direct experience with AI agent frameworks and real-world deployment projects.
 </li>
 <li>
 Previous work in fast-paced startup or innovation-driven environments.
 </li>
 </ul>
</div>

Data Engineer - Remote

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
 </li>
 <li>
 You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
 </li>
 <li>
 You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
 </li>
 <li>
 Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
 </li>
 <li>
 Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of security, reliability and performance considerations for production platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
 
 
 </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>

AI Platform Engineer

Archer Integrated Risk Management

<div>
 Job Details
 
 
 
 Description
 
 
 
 FULL-STACK DATA ENGINEER II
 
 
 Location: Cairo, Egypt
 
 
 Experience: 2&ndash;4 Years
 
 
 Stack: DataBricks &amp; Agentic AI
 
 
 The Role
 
 
 We are looking for a forward-thinking Full-Stack Data Engineer II to join our team in Egypt. This is not a traditional ETL role; you will be at the forefront of the Data + AI era, leveraging DataBricks to build intelligent data products. You will be responsible for the end-to-end lifecycle of data, from ingestion and Lakehouse architecture to developing agentic AI workflows that allow our business systems to act autonomously based on data insights.
 
 
 AI &amp; Agentic Focus
 
 
 Build and deploy LLM-based agents that utilize data tools to solve complex tasks, including implementing Retrieval-Augmented Generation (RAG) patterns and autonomous chains-of-thought for decision-making.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and optimize Delta Lake tables within DataBricks using Unity Catalog for governance.
 </li>
 <li>
 Develop and deploy agentic workflows using LangChain, AutoGen, or DataBricks Mosaic AI.
 </li>
 <li>
 Build Python-based backend services (FastAPI) to expose AI-driven insights.
 </li>
 <li>
 Manage data pipelines using DataBricks Workflows and Delta Live Tables (DLT).
 </li>
 <li>
 Implement monitoring frameworks to ensure agent accuracy, safety, and performance.
 
 
 </li>
 </ul>
 Technical Requirements
 
 
 <ul>
 <li>
 2&ndash;4 years experience with PySpark and SQL
 </li>
 <li>
 Strong experience with DataBricks (Unity Catalog, DLT, Notebooks)
 </li>
 <li>
 Understanding of Lakehouse architecture
 </li>
 <li>
 Hands-on experience with LLMs and prompt engineering
 </li>
 <li>
 Experience building AI agents using APIs and tools
 </li>
 <li>
 Backend development in Python and Docker
 
 
 </li>
 </ul>
 
 Preferred Experience
 
 
 
 <ul>
 <li>
 MLflow for model tracking and deployment
 </li>
 <li>
 Vector databases (Pinecone, Weaviate, DataBricks Vector Search)
 </li>
 <li>
 Familiarity with Egyptian data localization requirements
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Work on cutting-edge Agentic AI projects
 </li>
 <li>
 Competitive compensation in EGP with bonuses
 </li>
 <li>
 Hybrid work environment in New Cairo
 
 
 </li>
 </ul>
 Updated Version: DataBricks &amp; Agentic AI Focused &ndash; Egypt
</div>

Full-stack Data Engineer II

Explore 919+ Principal ai engineer in Egypt this May. Find roles across top companies and apply now to boost your career.

919 principal ai engineer jobs In Egypt

Principal AI Engineer

Principal AI Engineer

Principal Software Engineer Evangelist - Infrastructure Platform

Principal Software Engineer

Data Engineer - Remote

AI Platform Engineer

Full-stack Data Engineer II