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ai engineer mid level senior

eSense

<div>
 Position Overview
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze requirements and contribute to technical AI solution design.
 </li>
 <li>
 Strong programming skills in Python (mandatory).
 </li>
 <li>
 Experience in backend development (APIs, microservices, model serving).
 </li>
 <li>
 Hands-on experience with local LLM deployment and optimization.
 </li>
 <li>
 Experience in RAG system design and vector databases.
 </li>
 <li>
 Practical experience in model fine-tuning (LoRA / PEFT).
 </li>
 <li>
 Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 </li>
 <li>
 Experience working in Linux environments.
 </li>
 <li>
 Participate in peer code reviews and team planning activities.
 </li>
 <li>
 Provide task estimations and deliver within approved timelines.
 </li>
 <li>
 Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 </li>
 <li>
 2-5 years of experience in AI Engineering.
 </li>
 <li>
 Proficiency in C#, .NET Core and Python.
 </li>
 <li>
 Experience with Structured and Unstructured databases.
 </li>
 <li>
 Experience with Angular or other frontend technologies is a strong plus.
 </li>
 <li>
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 </li>
 <li>
 Familiarity with Git, RESTful services, and Agile development methodologies
 </li>
 </ul>
</div>

AI Engineer

Finaira

<div>
 The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
 
 
 
 The difference you will make
 
 
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
 </li>
 <li>
 Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Education:
 
 
 Bachelor's degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
 </li>
 <li>
 Demonstrated deep expertise in a specific AI sub-field
 
 
 </li>
 </ul>
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization.
 </li>
 <li>
 Ability to critically evaluate and apply academic research to real-world problems
 
 
 </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. o 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>

Senior AI Engineer

<div>
 
 The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
 
 
 
 
 
 The difference you will make:
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates. &bull; Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role:
 
 
 
 Education:
 
 Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. Demonstrated deep expertise in a specific AI sub-field.
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization. o Ability to critically evaluate and apply academic research to real-world problems.
 </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>

700apps

<div>
 We are looking for a highly skilled
 
 Senior AI Engineer / AI Architect
 
 to lead the design, development, and deployment of scalable AI solutions.
 
 
 In this role, you will combine hands-on model development with high-level system architecture to help shape our AI strategy and deliver production-ready intelligent systems.
 
 
 You will work closely with engineering, product, and leadership teams to transform business needs into powerful AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 AI Architecture &amp; System Design
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms.
 
 
 </li>
 </ul>
 Model Development
 
 
 <ul>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for machine learning workflows.
 </li>
 <li>
 Deploy models to production using containers and cloud services.
 </li>
 <li>
 Implement monitoring, logging, and automated retraining processes.
 </li>
 <li>
 Manage model lifecycle, versioning, and performance tracking.
 
 
 </li>
 </ul>
 Technical Leadership
 
 
 <ul>
 <li>
 Provide technical leadership to AI engineers and data scientists.
 </li>
 <li>
 Review code and guide best practices in AI development.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI solutions with business goals.
 </li>
 <li>
 Contribute to technical strategy and AI roadmap planning.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning engineering.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Hands-on experience with PyTorch or TensorFlow.
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks.
 </li>
 <li>
 Strong understanding of system design and scalable architectures.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 <li>
 Solid understanding of data pipelines and data engineering concepts.
 </li>
 </ul>
</div>

AI Architect

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 
 Senior Java Software Engineer
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Senior Java Software Engineer to build, enhance, and maintain scalable backend systems. You will work across the software development lifecycle, contribute to solution design, and deliver reliable, high-quality software that directly impacts business outcomes.
 
 
 This role focuses on strong Java engineering fundamentals, with exposure to modern cloud, DevOps, data, and AI-enabled integrations.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Java-based backend services across multiple releases.
 </li>
 <li>
 Implement new features, handle change requests, and resolve production defects.
 </li>
 <li>
 Estimate tasks accurately and deliver within agreed timelines.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following clean code principles.
 </li>
 <li>
 Debug and troubleshoot complex issues to identify root causes efficiently.
 </li>
 <li>
 Write unit tests using JUnit and follow test-driven development (TDD) practices.
 </li>
 <li>
 Participate in solution and technical design discussions, applying appropriate design patterns.
 </li>
 <li>
 Develop and maintain RESTful APIs.
 </li>
 <li>
 Collaborate closely with team members and cross-functional teams (QA, DevOps).
 </li>
 <li>
 Contribute to CI/CD pipelines and deployment processes using existing DevOps tooling.
 </li>
 <li>
 Continuously learn and adopt new technologies relevant to backend engineering.
 
 
 </li>
 </ul>
 
 DevOps &amp; Deployment (Expected Exposure, Not Ownership)
 
 
 
 <ul>
 <li>
 Work with Docker-based deployments across different environments.
 </li>
 <li>
 Integrate applications into existing CI/CD pipelines (Jenkins, Kubernetes).
 </li>
 <li>
 Support smooth releases and environment stability in collaboration with DevOps teams.
 
 
 </li>
 </ul>
 
 Security &amp; Quality
 
 
 
 <ul>
 <li>
 Apply secure coding practices and follow OWASP Top 10 guidelines.
 </li>
 <li>
 Implement authentication and authorization using JWT / OAuth2.
 </li>
 <li>
 Ensure high code quality through reviews, testing, and automation.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Experience &amp; Education
 
 
 
 <ul>
 <li>
 5+ years of professional experience in Java software development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Core Technical Skills (Must-Have)
 
 
 
 <ul>
 <li>
 Java: Java 17 or Java 21
 </li>
 <li>
 Spring Ecosystem: Spring, Spring Boot, Spring Data, Spring Security, Spring Cloud
 </li>
 <li>
 Architecture: OOP principles, design patterns, clean code
 </li>
 <li>
 Databases: Oracle or MySQL, database design, ERD
 </li>
 <li>
 ORM: JPA / Hibernate
 </li>
 <li>
 Testing: JUnit and unit testing practices
 </li>
 <li>
 APIs: RESTful web services
 </li>
 <li>
 Messaging: Apache Kafka
 </li>
 <li>
 Build &amp; Version Control: Maven, Git
 </li>
 <li>
 Developer Productivity Tools: Windsurf
 </li>
 <li>
 Experience integrating Generative AI or LLM APIs into backend systems.
 </li>
 <li>
 Interest in applying AI to improve automation, data processing, or developer productivity is highly valued.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 
 
 (Experience in these areas is a plus, not a requirement)
 
 
 
 
 <ul>
 <li>
 Search &amp; Indexing: Elasticsearch
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana
 </li>
 <li>
 Big Data: Apache Spark.
 </li>
 <li>
 Cloud Platforms: AWS
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful systems with real business value.
 </li>
 <li>
 Exposure to modern backend architecture, cloud-native tools, and AI-enabled solutions.
 </li>
 <li>
 Collaborative engineering culture with strong technical ownership.
 </li>
 <li>
 Continuous learning and professional growth.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 The Senior Principal Engineer, Service Delivery is responsible for planning, directing, and coordinating the technical and organizational activities required to deliver complex services in alignment with contract specifications. This role builds deep customer relationships, becoming a trusted advisor by understanding client priorities, challenges, and strategic initiatives. The position identifies growth opportunities, supports sales in pursuing them, and ensures seamless service delivery across all phases. The Senior Principal Engineer manages high‑priority escalations, drives continuous improvement, and collaborates with sales and Global Services SMEs to develop strategic account growth plans.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Ensure end‑to‑end delivery costs are aligned with or better than contracted service‑level agreements.
 </li>
 <li>
 Coordinate and guide technical solution teams to meet all contractual commitments.
 </li>
 <li>
 Provide advanced metrics, analytics, and reporting to internal and external stakeholders.
 </li>
 <li>
 Proactively identify issues, drive timely resolution, and prevent negative customer impact.
 </li>
 <li>
 Lead continuous improvement efforts across service delivery processes and technical operations.
 </li>
 <li>
 Identify opportunities for service innovation, account expansion, and solution enhancements.
 </li>
 <li>
 Maintain effective communication with stakeholders, customers, partners, and cross-functional teams.
 </li>
 <li>
 Build strong customer relationships and act as a trusted advisor based on deep understanding of their business needs.
 </li>
 <li>
 Support sales and Global Services SMEs in identifying and pursuing new service opportunities.
 </li>
 <li>
 Oversee service matters across accounts and manage customer expectations during escalations.
 </li>
 <li>
 Contribute to strategic account planning and long-term customer success initiatives.
 </li>
 <li>
 Apply broad technical expertise to influence company objectives and achieve organizational goals.
 </li>
 <li>
 Analyze complex and unique issues requiring conceptual and creative problem-solving.
 </li>
 <li>
 Exercise independent judgment in selecting methods, techniques, and evaluation criteria for service delivery.
 </li>
 <li>
 Take accountability for decisions and outcomes that may impact the broader function or organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with 12+ years of relevant experience.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 Broad expertise across highly specialized technical domains or multiple related disciplines.
 </li>
 <li>
 Experience contributing to and leading the development of organizational goals, principles, and technical standards.
 </li>
 <li>
 Strong conceptual thinking skills to analyze advanced, ambiguous, or intangible issues.
 </li>
 <li>
 Proven ability to exercise independent judgment in complex technical and operational situations.
 </li>
 <li>
 Demonstrated success delivering technical solutions that align with contract and customer expectations.
 </li>
 <li>
 Strong communication skills with the ability to collaborate across organizational and functional boundaries.
 </li>
 <li>
 Ability to manage customer escalations and ensure positive outcomes in high‑pressure scenarios.
 </li>
 <li>
 Experience identifying innovation and growth opportunities within customer accounts.
 </li>
 <li>
 Strong stakeholder‑management, reporting, and executive‑level communication skills.
 </li>
 </ul>
</div>

Senior Principal Engineer, Service Delivery

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 The Senior Engineer, Service Delivery plans, directs, and coordinates the technical and organizational activities required to deliver services that meet contracted specifications. This role develops deep understanding of customer priorities and challenges, acts as a trusted advisor, and supports account growth by identifying opportunities in partnership with sales and Global Services SMEs. The Senior Engineer ensures smooth service operations, manages customer escalations, supports continuous improvement, and drives strong cross‑functional collaboration to enhance the overall customer experience.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Ensure full life cycle delivery costs align with or improve upon contracted service‑level agreements.
 </li>
 <li>
 Coordinate technical solution teams to meet all contractual and operational obligations.
 </li>
 <li>
 Deliver advanced metrics, reporting, and performance insights to internal and external stakeholders.
 </li>
 <li>
 Proactively identify potential issues and drive timely resolution to avoid customer impact.
 </li>
 <li>
 Contribute to continuous improvement initiatives that enhance service quality and operational efficiency.
 </li>
 <li>
 Identify areas for service innovation and potential account growth.
 </li>
 <li>
 Maintain effective communication with customers, partners, and cross‑functional teams.
 </li>
 <li>
 Build strong customer relationships and act as a trusted advisor throughout the service lifecycle.
 </li>
 <li>
 Apply deep knowledge of the specialized service delivery domain to solve complex issues.
 </li>
 <li>
 Assess unusual circumstances using sophisticated analytical and problem‑solving approaches.
 </li>
 <li>
 Develop creative solutions and adapt existing methods to resolve diverse issues.
 </li>
 <li>
 Work independently with periodic review at critical milestones to ensure alignment with objectives.
 </li>
 <li>
 Evaluate information and use judgment and interpretation to choose appropriate courses of action.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree with 5+ years of relevant experience.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 Full knowledge and strong understanding of service delivery principles, best practices, and technical domain specialization.
 </li>
 <li>
 Proven ability to assess complex or unusual circumstances using advanced analytical techniques.
 </li>
 <li>
 Strong problem‑solving skills, with ability to adapt approaches to resolve diverse issues.
 </li>
 <li>
 Ability to work independently with minimal supervision while handling complex tasks.
 </li>
 <li>
 Strong communication and stakeholder‑management skills.
 </li>
 <li>
 Ability to collaborate effectively across technical and non‑technical teams.
 </li>
 <li>
 Demonstrated experience in delivering service improvements and supporting customer escalations.
 </li>
 </ul>
</div>

Senior Engineer, Service Delivery

Explore 523+ Ai engineer mid level senior in Cairo Egypt this March. Find roles across top companies and apply now to boost your career.

523 ai engineer mid level senior jobs In Cairo Egypt

AI Engineer

Senior AI Engineer

Senior AI Engineer

AI Architect

Senior Java Software Engineer

Senior Principal Engineer, Service Delivery

Senior Engineer, Service Delivery