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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 Engineers, 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 Engineers.
 </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>
 
 
 
 
 What you will bring to the role
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 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.
 
 
 
 
 
 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. o 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>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
</div>

<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'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

FlairsTech

<div>
 
 
 Role Summary
 
 
 
 We are looking for a
 
 Principal Test Automation Engineer (Playwright specialist)
 
 to lead the design and implementation of scalable automation frameworks, ensuring high-quality delivery across web applications in a fast-paced Agile environment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the design and implementation of a
 
 Playwright-based automation framework
 
 from scratch or enhance existing frameworks.
 </li>
 <li>
 Build and maintain
 
 UI, API, and end-to-end test automation suites
 
 .
 </li>
 <li>
 Define automation strategy, standards, and best practices across teams.
 </li>
 <li>
 Integrate automated tests into
 
 CI/CD pipelines
 
 for continuous testing.
 </li>
 <li>
 Improve test coverage, stability, and execution efficiency.
 </li>
 <li>
 Drive
 
 shift-left testing practices
 
 within Agile teams.
 </li>
 <li>
 Perform root cause analysis for automation failures and production defects.
 </li>
 <li>
 Mentor QA engineers and contribute to technical upskilling.
 </li>
 <li>
 Collaborate closely with developers, DevOps, and product teams.
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 Playwright (must-have)
 
 </li>
 <li>
 8+ years in
 
 test automation / QA engineering
 
 </li>
 <li>
 Strong programming skills in
 
 TypeScript / JavaScript (preferred)
 
 or Python/Java
 </li>
 <li>
 Experience with
 
 API testing
 
 (Postman, REST APIs, or similar)
 </li>
 <li>
 Strong knowledge of
 
 CI/CD tools
 
 (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
 </li>
 <li>
 Experience building
 
 automation frameworks from scratch
 
 </li>
 <li>
 Understanding of
 
 web application architecture and microservices
 
 </li>
 <li>
 Strong knowledge of
 
 Git and version control workflows
 
 </li>
 <li>
 Experience with Agile/Scrum environments
 </li>
 </ul>
 
 
 
 
 
 Non-Technical Requirements
 
 
 <ul>
 <li>
 Strong
 
 leadership and ownership mindset (Principal level)
 
 </li>
 <li>
 Ability to define and enforce
 
 automation strategy across teams
 
 </li>
 <li>
 Excellent communication and stakeholder management skills
 </li>
 <li>
 Strong analytical and debugging skills
 </li>
 <li>
 Ability to work in a
 
 fast-paced, distributed environment
 
 </li>
 <li>
 Mentoring and coaching experience for QA engineers
 </li>
 </ul>
 
 
</div>

Principal Test Automation Engineer

NOK Human Capital

<div>
 
 
 About NOK HC
 
 
 
 NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.
 
 
 
 
 
 
 Job Title
 
 
 
 
 AI &amp; Data Automation Engineer
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for a skilled
 
 AI &amp; Data Automation Engineer
 
 to design and build intelligent automation and analytics solutions. In this role, you will develop AI-powered workflows, scalable data pipelines, and interactive analytics applications to enhance decision-making and eliminate manual processes. You will work closely with cross-functional teams to translate business needs into efficient, data-driven solutions and enable self-service analytics across the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and build AI-powered workflows and automation solutions to enhance business processes
 </li>
 <li>
 Develop scalable data pipelines for data ingestion, transformation, validation, and publishing
 </li>
 <li>
 Build and deploy AI/ML and LLM-based use cases such as classification, anomaly detection, and insight generation
 </li>
 <li>
 Create interactive, web-based analytics applications to support business and operational decision-making
 </li>
 <li>
 Integrate backend systems, APIs, and data layers to enable self-serve analytics platforms
 </li>
 <li>
 Replace manual reporting and static dashboards with automated, application-based solutions
 </li>
 <li>
 Ensure data quality, consistency, and scalability across data models and analytics systems
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into technical solutions
 </li>
 <li>
 Enable data-driven decision-making by delivering actionable insights and scalable data products
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, or a related field
 </li>
 <li>
 2&ndash;4 years of experience in software engineering, data engineering, automation, or AI/ML roles
 </li>
 <li>
 Strong proficiency in Python, with hands-on experience building production-grade pipelines and automation systems
 </li>
 <li>
 Solid SQL skills with experience handling large-scale datasets
 </li>
 <li>
 Experience or exposure to AI/ML concepts, including LLMs, prompt engineering, or AI-powered workflows
 </li>
 <li>
 Familiarity with cloud platforms, preferably AWS (e.g., Lambda, Step Functions, Glue, S3, Bedrock, SageMaker)
 </li>
 <li>
 Experience building data pipelines or scheduled/event-driven workflows (e.g., Airflow, cron)
 </li>
 <li>
 Exposure to frontend technologies (e.g., React) is a plus
 </li>
 <li>
 Familiarity with data warehouses and distributed systems (e.g., Redshift, Athena, Spark)
 </li>
 <li>
 Strong problem-solving skills with the ability to translate business needs into technical solutions
 </li>
 <li>
 Ability to work independently and deliver end-to-end solutions
 </li>
 <li>
 Excellent communication skills in English (written and spoken)
 </li>
 </ul>
 
 
 
 
 
 Work Conditions
 
 
 <ul>
 <li>
 Location: New Cairo
 </li>
 <li>
 Work Type: Onsite
 </li>
 </ul>
</div>

AI Data Engineer

e& Egypt

<div>
 
 
 About the Role
 
 
 
 The Quality Assurance Principal Engineer is responsible for leading quality governance, conducting audits, and managing operational risks across business and technology processes. This role ensures compliance with internal standards, regulatory requirements, and industry best practices while driving continuous improvement and operational excellence.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Process Audits
 
 <ul>
 <li>
 Lead and execute end-to-end process audits to assess compliance, effectiveness, and efficiency.
 </li>
 <li>
 Identify gaps, risks, and improvement opportunities and drive corrective action plans.
 </li>
 <li>
 Establish audit frameworks, checklists, and reporting standards.
 </li>
 </ul>
 
 
 
 Process Governance
 
 <ul>
 <li>
 Define, implement, and maintain quality governance frameworks across engineering and business operations.
 </li>
 <li>
 Ensure adherence to policies, SOPs, regulatory standards, and organizational controls.
 </li>
 <li>
 Act as a subject matter expert for quality processes and compliance best practices.
 </li>
 </ul>
 
 
 
 Business Audits
 
 <ul>
 <li>
 Conduct business function audits including operational, financial, and regulatory compliance areas.
 </li>
 <li>
 Evaluate business controls, risk exposure, and operational maturity.
 </li>
 <li>
 Partner with leadership teams to implement risk mitigation and performance improvement strategies.
 </li>
 </ul>
 
 
 
 Operational Risk Management
 
 <ul>
 <li>
 Identify, assess, and monitor operational risks across processes and projects.
 </li>
 <li>
 Develop risk mitigation plans and ensure timely closure of risk findings.
 </li>
 <li>
 Support enterprise risk management initiatives and incident investigations.
 </li>
 </ul>
 
 
 
 Quality Leadership
 
 <ul>
 <li>
 Provide thought leadership and mentoring to quality and audit teams.
 </li>
 <li>
 Influence senior stakeholders on governance, compliance, and continuous improvement initiatives.
 </li>
 <li>
 Drive automation and data-driven quality assurance strategies.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, Quality Management, Business, or a related field.
 </li>
 <li>
 Proven ability to assess complex systems, identify risks, and drive corrective actions.
 </li>
 <li>
 Excellent stakeholder management and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Required Experience
 
 
 <ul>
 <li>
 2-3 years of experience in quality assurance, audits, governance, or operational risk.
 </li>
 <li>
 Strong experience in process auditing frameworks (ISO, CMMI, ITIL, SOX, or similar).
 </li>
 </ul>
 
 
 
 
 
 Desirable Experience
 
 
 <ul>
 <li>
 Process governance &amp; compliance management
 </li>
 <li>
 Risk assessment &amp; mitigation
 </li>
 <li>
 Audit planning &amp; execution
 </li>
 <li>
 Root cause analysis
 </li>
 <li>
 Data-driven decision making
 </li>
 <li>
 Leadership &amp; influence
 </li>
 </ul>
 
 
 
 
 
 Required Certificates
 
 
 <ul>
 <li>
 Certified Quality Engineer (CQE)
 </li>
 <li>
 Certified Internal Auditor (CIA)
 </li>
 <li>
 Six Sigma Black Belt
 </li>
 <li>
 ISO Lead Auditor
 </li>
 </ul>
</div>

Quality Assurance Principal Engineer

<div>
 
 The
 
 Senior Fullstack Engineer
 
 is a key contributor within the
 
 TP.ai FAB
 
 ecosystem, responsible for building robust, scalable, and secure software solutions that integrate with AI and data-driven components.
 
 
 This role focuses on hands-on development across both front-end and back-end layers, ensuring interoperability, performance, and user experience across FAB&rsquo;s modular architecture.
 
 
 The engineer collaborates with peers, architects, and AI teams to deliver production-ready applications that align with Teleperformance&rsquo;s design, security, and global delivery standards.
 
 
 
 
 
 &bull; End-to-End Development
 
 
 <ul>
 <li>
 Develop, test, and deploy fullstack applications, microservices, and APIs integrated with FAB&rsquo;s data and AI components.
 </li>
 <li>
 Implement responsive, modular front-end interfaces using modern JavaScript frameworks.
 </li>
 <li>
 Maintain high code quality, scalability, and performance across distributed systems.
 </li>
 </ul>
 
 
 &bull; Collaboration &amp; Delivery
 
 
 <ul>
 <li>
 Work closely with Software Architects, Data Engineers, and Product Managers to translate requirements into efficient solutions.
 </li>
 <li>
 Participate in design reviews, sprint planning, and daily scrums within agile squads.
 </li>
 <li>
 Support integration of AI APIs, automation services, and analytics dashboards.
 </li>
 </ul>
 
 
 &bull; Quality &amp; DevOps Practices
 
 
 <ul>
 <li>
 Write clean, testable, and maintainable code following global engineering standards.
 </li>
 <li>
 Implement CI/CD pipelines, automated tests, and observability logging.
 </li>
 <li>
 Contribute to shared component libraries, documentation, and internal playbooks.
 </li>
 </ul>
 
 
 &bull; Continuous Improvement
 
 
 <ul>
 <li>
 Stay up to date on emerging fullstack, AI, and DevSecOps technologies.
 </li>
 <li>
 Identify opportunities to improve system performance and developer productivity.
 </li>
 <li>
 Actively contribute to peer code reviews and technical discussions.
 </li>
 </ul>
 
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field.
 
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 5&ndash;8 years of experience in fullstack development or software engineering roles.
 </li>
 <li>
 Proven experience delivering enterprise-grade applications across cloud or AI environments.
 </li>
 <li>
 Exposure to microservices architecture and API integration in global, agile settings.
 </li>
 </ul>
 
 
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Proficiency in JavaScript/TypeScript, Node.js, and modern front-end frameworks (React, Next.js, or Angular).
 </li>
 <li>
 Backend experience using Python, Java, or .NET, including RESTful and GraphQL APIs.
 </li>
 <li>
 Familiarity with microservices, message queues, and event-driven architectures (Kafka, RabbitMQ).
 </li>
 <li>
 Experience with cloud platforms (Azure, AWS, or GCP), Docker/Kubernetes, and CI/CD automation.
 </li>
 <li>
 Understanding of SQL/NoSQL databases and caching mechanisms.
 </li>
 <li>
 Familiarity with AI/LLM integration (API consumption, orchestration, and monitoring) preferred.
 </li>
 <li>
 Knowledge of Git, testing frameworks (Jest, Mocha, Cypress), and observability tools.
 </li>
 </ul>
 
 
 
 
 Soft Skills
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical capabilities.
 </li>
 <li>
 Effective collaboration in cross-functional, multicultural teams.
 </li>
 <li>
 Excellent attention to detail and code quality.
 </li>
 <li>
 Curiosity for new technologies and continuous improvement.
 </li>
 <li>
 Clear communication and accountability mindset.
 </li>
 </ul>
</div>

Senior Full Stack Engineer

Explore 300+ Principal ai engineer in Cairo Egypt this April. Find roles across top companies and apply now to boost your career.

300 principal ai engineer jobs In Cairo Egypt

Principal AI Engineer

Principal AI Engineer

Principal Software Engineer

Principal Test Automation Engineer

AI Data Engineer

Quality Assurance Principal Engineer

Senior Full Stack Engineer