shift engineer

chief engineer

design engineer

planning engineer

project engineer

ai engineer

Areeb Technology

<div>
 About THe role :
 
 
 
 As our AI, data, and analytics team continues to grow rapidly, we are looking for two outstanding AI engineers with strong expertise in both AI development and AI automation. This is a unique opportunity to help design and build transformative systems that set new standards for technological innovation across industries. At Areeb, you&rsquo;ll be part of a young, fast-growing AI team with expanding responsibilities and real influence.
 
 
 We offer:
 
 
 &bull; The chance to work on impactful, real-world AI solutions
 
 &bull; A culture that encourages innovation, ownership, and fast experimentation &bull; Frequent opportunities to present technical ideas and solutions to company leadership
 
 &bull; A collaborative and supportive environment focused on continuous learning and professional growth
 
 
 
 We are seeking an AI Engineer who can help define new technical directions as we scale our solutions globally. In this role, you will architect, plan, and develop advanced AI systems in close collaboration with cross-functional teams, seamlessly integrating them into our infrastructure. Your work will focus on generative AI, retrieval-augmented generation (RAG), and multi-agent architectures, while also supporting development teams through AI-assisted (vibe) coding and building scalable AI automation systems.
 
 
 
 As an AI &amp; Automation Engineer at Areeb, you will combine applied AI development with intelligent automation to build solutions that not only extract insights from data, but also optimize, streamline, and automate business and engineering workflows. Your responsibilities will include:
 
 
 &bull; Design, develop, and deploy real-time AI solutions to address complex, real-world challenges across teams.
 
 &bull; Architect and implement AI-driven automation solutions for multiple business and technical departments.
 
 &bull; Identify processes suitable for automation and conduct feasibility, impact, and scalability assessments.
 
 &bull; Integrate AI models (e.g., large language models, computer vision, and other ML models) into end-to-end automation pipelines.
 
 &bull; Build AI-powered solutions that enhance software development workflows, including LLM based coding assistance and automation.
 
 &bull; Collaborate closely with cross-functional teams, including AI engineers, software developers, product owners, and project managers, to deliver robust and scalable solutions.
 
 &bull; Ensure all solutions comply with data privacy regulations, security policies, and responsible/ethical AI standards. &bull; Document system designs and implementations, and develop user guides, training materials, and technical support documentation.
 
 
 
 Requirements
 
 
 <ul>
 <li>
 A degree or proven track record (with certification from recognized institutions) in AI or a related field
 
 </li>
 <li>
 Excellent knowledge of supervised methods (Classification, Regression) and unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction).
 
 </li>
 <li>
 Proficiency in Python and SQL, along with key Python libraries for ML and data analysis (scikit-learn, Pandas, NumPy, matplotlib, SciPy, MLflow
 
 </li>
 <li>
 Experience in Deep Learning (RNNs, CNNs, Autoencoders).
 
 </li>
 <li>
 Proven skills in data analysis and the ability to extract insights from real-world datasets.
 
 </li>
 <li>
 Experience with Keras (and TensorFlow) or PyTorch.&bull; Some knowledge in AI automation platforms such as n8n, Make, or Zapier.
 
 </li>
 <li>
 Familiarity with vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering
 
 </li>
 <li>
 Experience with tools like UiPath or Microsoft Power Automate is a strong plus.
 
 </li>
 <li>
 Ability to find creative solutions to complex problems.
 
 </li>
 <li>
 Curious mindset with a continuous desire to learn and collaborate.
 
 
 </li>
 </ul>
</div>

AI Engineer

Coptic Orphans

<div>AI Engineer 
Purpose of the Job
This role is pivotal in our commitment to leveraging cutting-edge artificial intelligence to advance our mission. This person will be a hands-on professional with a passion for experimenting with emerging AI assistants, large language models (LLMs), and other AI technologies. This role will be responsible for identifying, testing, and integrating these tools into our existing technological infrastructure to enhance our programs, fundraising, streamline operations, and drive data-informed decision-making. 
Essential Functions and Responsibilities
<ul><li>Analyze business processes using the workflow process management function and partner with Data Analysts to evaluate data flows, then proactively identify opportunities to integrate AI solutions that optimize efficiency, automate tasks, and support informed decision-making.</li><li>
Research, experiment with, and evaluate emerging AI assistants, generative AI tools, and large language models (LLMs) to determine high-value use cases aligned with organizational goals.</li><li>
Design and develop AI prototypes and proof-of-concept integrations to demonstrate how AI tools can be effectively integrated into internal systems to enhance efficiency, automation, and operational workflows.
</li><li>Partner with cross-functional teams to identify practical challenges and opportunities where AI can be applied to simplify work, save time, or improve outcomes.
</li><li>Build, fine-tune, and deploy ML models tailored to nonprofit-specific use cases such as donor insights, operational automation, and content generation.</li><li>
Use advanced Python skills and ML tools to develop and fine-tune AI models for practical applications.
</li><li>Implement AI solutions in compliance with ethical standards, including bias mitigation, data privacy, and fairness, and contribute to shaping the organization's AI governance framework.
</li><li>Train non-technical staff on basic AI concepts, opportunities, and risks.</li>
Design and implement AI architecture, model integration strategies, and data pipelines to enable seamless deployment into existing systems. 
<li>
</li></ul> 
Required Education, Experience, Knowledge and Skills
<ul><li>Bachelor's in Artificial Intelligence, Computer Science, Data Science, or a relevant field.</li><li>
1 to 3 of hands-on experience in machine learning, AI engineering, or related fields.</li><li>
Hands-on experience working within project teams, supporting the implementation of AI solutions in coordination with technical and non-technical stakeholders.</li><li>
Proficiency in written and spoken English.</li><li>
Proficiency in Python and core ML frameworks.</li><li>
Practical experience with AI/LLM deployment, including Chabot's, assistants, or generative AI.</li><li>
Good understanding of data ethics, bias, and responsible AI principles.</li><li>
Excellent communication, facilitation, and documentation skills.</li><li>
Experience with Customer Relationship Management (CRM) systems and their integration with data and AI workflows.</li><li>
Ability to gather, analyze and present information and numerical data effectively, and a demonstrated, high level of accuracy and thoroughness in all duties.</li></ul> 
Travel and Working Requirements<ul><li>
Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
</li><li>Occasional travel, nationally or internationally, is expected.
</li><li>Working out of the official hours and on weekends may be required.</li></ul></div>

Yalent

About InVitro Capital
 InVitro Capital is a U.S.-based venture studio and fund. We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems. Our portfolio spans healthcare, home services, and sales technology.
 Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products.
 We operate with a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio.
 
Role Overview
 We are looking for a highly skilled AI Engineering Lead who thrives at the frontier of applied AI — someone who builds real-world ML and LLM systems, not academic experiments. This role is designed for senior builders who enjoy crafting end-to-end AI pipelines, optimizing models for production, and integrating AI capabilities directly into high-scale products.
 
You will: 
<ul>
<li>Design and train advanced models</li>
<li>Build and optimize data and inference pipelines</li>
<li>Deploy AI systems to production with reliability and scale</li>
<li>Collaborate closely with backend and product teams</li>
<li>Drive excellence across the AI lifecycle</li>
</ul>
This is a hands-on senior IC role for engineers who want to build AI systems that matter.
 
Requirements: 
What You’ll Do
 Build End-to-End AI Systems
 <ul>
<li>Architect and implement data pipelines for training, evaluation, and real-time or streaming inference.</li>
<li>Build, fine-tune, and integrate ML, NLP, LLM, and/or Computer Vision models using Python, PyTorch, TensorFlow, and Hugging Face.</li>
<li>Implement retrieval pipelines, embeddings, and vector database integrations.</li>
</ul>
Deploy Production-Grade AI
 <ul>
<li>Ship reliable, high-performance inference services using Docker, Kubernetes, and cloud platforms (Azure preferred).</li>
<li>Design APIs and microservices that integrate models into user-facing applications.</li>
<li>Optimize inference latency, throughput, and cost efficiency.</li>
</ul>
Model Monitoring & Improvement
 <ul>
<li>Track model drift, accuracy, performance, and stability.</li>
<li>Continuously improve production models through retraining, evaluation, and enhancements.</li>
<li>Implement observability and monitoring across the ML lifecycle.</li>
</ul>
Champion MLOps Excellence
 <ul>
<li>Maintain CI/CD pipelines for ML systems.</li>
<li>Set up and manage experiment tracking, model registries, and reproducibility workflows.</li>
<li>Ensure robust automation and smooth model deployment processes.</li>
</ul>
Qualifications
 Required
 <ul>
<li>10+ years of experience building and deploying ML/AI systems in production.</li>
<li>Advanced proficiency in Python, with strong expertise in PyTorch or TensorFlow.</li>
<li>Strong understanding of machine learning, deep learning, data engineering, and distributed training.</li>
<li>Hands-on experience with LLMs, NLP, CV, or recommender systems.</li>
<li>Strong MLOps and cloud-native engineering experience.</li>
<li>Experience deploying AI systems on Azure, AWS, or GCP.</li>
<li>Proficiency with Docker, Kubernetes, and scalable microservice architectures.</li>
<li>Strong debugging, optimization, and performance tuning abilities.</li>
<li>Experience working in fast-paced, high-ownership startup environments.</li>
<li>Excellent communication and cross-functional collaboration skills.</li>
</ul>
Huge Plus
 <ul>
<li>Experience with streaming inference or real-time ML systems.</li>
<li>Familiarity with monitoring tooling such as Prometheus, Grafana, or ELK/EFK.</li>
<li>Contributions to open-source ML/AI projects or a strong GitHub portfolio.</li>
<li>Experience building 0→1 systems or working in high-growth technical environments.</li>
</ul>
Benefits: 
What We Offer
 <ul>
<li>Compensation: $3,000–$3,800 USD/month base + bonus</li>
<li>Health insurance</li>
<li>Social insurance</li>
<li>Paid Time Off (PTO)</li>
<li>High ownership and autonomy</li>
<li>Opportunity to build advanced AI systems across multiple ventures</li>
<li>A culture optimized for speed, impact, and technical excellence</li>
</ul>
Schedule & Work Setup
 <ul>
<li>Cairo-based candidates preferred</li>
<li>Hybrid: expected at the Cairo office at least once per week</li>
<li>Monday–Friday, aligned with U.S. Pacific Time</li>
<li>High-autonomy, high-velocity engineering environment</li>
</ul>

Lead AI Engineer - Applied AI Builder

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Manager
Job Description &amp; Summary
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data.
 
 
As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively.
Description
<div><div><div><div>The Digital &amp; Cyber Business Unit brings together deep technology expertise and bold thinking to help organizations thrive in a connected, data-driven world. We support clients in reimagining how they operate, serve, and grow&mdash;by harnessing the power of digital products, emerging tech, cloud, data, and cyber resilience.
 
 
Whether shaping enterprise-wide transformation or enabling targeted innovation, we work at the intersection of strategy, technology, and trust&mdash;delivering scalable solutions that empower clients to move faster, think smarter, and lead with confidence.
</div></div><div><div>Job Summary
</div><div>A career in our Cyber Secrurity &amp; Digital Trust technology services will allow you to work under the supervision of cyber security leadership within the Digital &amp; Cyber Consulting practice. Use strategic business consulting skills to work with clients through all stages of strategy-based transformation projects. Provide support on client assignments that help to develop a strategy and then refocus an organization on making that strategy a reality. We are a growing team and looking for dynamic, flexible, proactive and hardworking consultants who have a passion for shaping cyber security positively in the GCC over the coming years. We have a strong pipeline of large, transformational opportunities with our clients which will provide great opportunities for all our people to step up and play significant and rewarding roles in an entrepreneurial and innovation driven environment.
</div></div><div><div>Roles &amp; Responsibilities
</div><div>Meaningful work you&rsquo;ll be part of:
Project &amp; Engagement Management:
 
Lead end-to-end delivery of AI-in-Cyber initiatives&mdash;from assessment and strategy to design, build, and optimization of use cases. Oversee project plans, budgets, risks, resources, and quality, ensuring measurable impact and stakeholder satisfaction.
Business Development:
 
Drive opportunity creation and management, including lead generation, solution design, demos, proofs of value, proposals, statements of work, and contracting. Collaborate across teams to shape offerings that align with client needs and PwC standards.
Strategic Leadership:
 
Define and implement enterprise strategies for AI-augmented cyber defense, connecting business value to measurable outcomes. Establish governance frameworks for responsible and secure AI use in SOC and incident response environments.
Risk &amp; Policy (Usage-Level):
 
Develop and enforce policies for AI-assisted cybersecurity operations&mdash;covering data handling, access control, approvals, activity logging, and human-in-the-loop (HIL) reviews. Align with global standards including NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894, ENISA AI Threat Landscape, and OWASP Top 10 for LLM Applications, while ensuring compliance with privacy and regional regulations.
Stakeholder Engagement:
 
Advise CISOs, SOC leaders, and executives on AI-in-Cyber strategy and implementation. Translate technical insights into tangible business outcomes, strengthening stakeholder trust and alignment.
What you&rsquo;ll do:
1) Threat Intelligence, Hunting &amp; Incident Response Augmentation:
 
Automate cyber threat intelligence ingestion, normalization, and enrichment by linking entities and extracting TTPs mapped to MITRE ATT&amp;CK. Convert intelligence into actionable detections and hunting use cases with measurable precision and recall. Enhance incident response through orchestrated workflows&mdash;covering scoping, evidence handling, executive communication, and retrospectives&mdash;supported by AI copilots and intelligent agents.
2) Secure Use of AI in Cyber Operations (Scope-Limited Guardrails):
 
Implement strict data governance through minimization, labeling, and DLP controls across retrieval and case documentation. Maintain audit trails, approval flows, and role-based access for sensitive operations. Apply safety measures including content filtering, grounding checks, and human validation for high-risk actions. Utilize private networking, managed encryption keys, and secured environments for AI components.
Ensure alignment with frameworks such as NIST AI RMF, ISO/IEC 42001/23894, ENISA AI Threat Landscape, and OWASP LLM Top 10. Adhere to privacy and regional obligations&mdash;including GDPR, CCPA, KSA SDAIA PDPL/NCA ECC, and UAE TDRA/CSC&mdash;while ensuring all SOC data and AI operations meet PwC&rsquo;s global trust and compliance standards.
</div></div><div><div>Skills and Competencies
</div><div><div><ul><li>Strong Python and data engineering; Git-based CI/CD and testing.
</li></ul></div><div><ul><li>Hands-on expertise in one or more vendor tracks above (Microsoft, Google, Palo Alto Networks).
</li></ul></div><div><ul><li>Experience building LLM/RAG apps integrated into SOC workflows; comfort with prompt and retrieval evaluation.
</li></ul></div><div><ul><li>Excellent written and verbal communication; ability to explain complex analytics and risks to non-technical stakeholders and executives.
</li></ul></div></div></div></div></div>Minimum years experience required
Additional application instructions
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Learning Agility, Managed Services, Optimism, Privacy Compliance, Professional Courage {+ 13 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

ETIC, Cybersecurity - AI Engineer - Manager

Flairstech

<div><div><div><div>Requirements and responsibilities<div> 
Job Title:
AI Solutions Engineer &ndash; Enterprise Integrations<div></div>
About the Role:
We are seeking an AI Solutions Engineer to design and build AI-driven workflows and agents that integrate OpenAI, Freshdesk, Microsoft Copilot, and our custom applications. This role will bridge business needs and technical implementation, ensuring seamless automation and intelligent workflows across our enterprise ecosystem.<div></div>
Responsibilities:<ul><li>
Design, build, and maintain AI agents leveraging OpenAI GPT models for internal and customer-facing use cases.</li><li>
Integrate AI with Freshdesk, Microsoft 365, and custom business applications via APIs and automation frameworks.</li><li>
Develop automation workflows using Power Automate, Zapier, or similar tools.</li><li>
Create scalable backend solutions using Python or Node.js for AI orchestration.</li><li>
Implement AI-assisted features in Microsoft Copilot and optimize Power Platform workflows.</li><li>
Ensure integrations adhere to security, compliance, and data privacy standards.</li><li>
Collaborate with cross-functional teams to define requirements, test solutions, and document processes.</li></ul><div></div>
Requirements:<ul><li>
3+ years of experience in software development or integrations</li><li>
Strong proficiency in Python or Node.js</li><li>
Hands-on experience with OpenAI APIs or similar LLM frameworks</li><li>
Proven track record integrating APIs (REST, webhooks)</li><li>
Familiarity with Freshdesk, Microsoft Power Platform, and Graph API</li><li>
Knowledge of cloud platforms (Azure, AWS, or GCP)</li><li>
Excellent problem-solving and communication skills</li></ul>
Preferred:<ul><li>
Experience with vector databases and AI search</li><li>
Knowledge of KCS and customer support workflows</li><li>
Background in Enterprise SaaS</li></ul></div></div></div></div></div><div></div>

AI Solution Engineer

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description &amp; Summary
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
</li><li>3-5 years of professional experience as a Python Developer with a strong
 
portfolio of software projects showcasing GenAI applications.
</li><li>Proficiency in Python programming and a solid grasp of software development
 
principles.
</li><li>Extensive experience with GenAI techniques such as machine learning, deep learning,
 
natural language processing, and data analysis.
</li><li>Familiarity with data formats, databases, and tools relevant to GenAI.
</li><li>Excellent communication skills to convey technical concepts and collaborate effectively
 
with cross-functional teams and clients.
</li><li>Prior experience in technology consulting or related fields is preferred.
</li><li>Familiarity with HTML, CSS, JavaScript.
</li><li>Familiarity with front end frameworks and libraries such as React, Angular, or Vue.js.
</li><li>Experience with version control systems (e.g., Git) and collaborative development workflows.
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Machine Learning, Python (Programming Language), React.js, Software Development
Optional Skills
Artificial Intelligence (AI), Git
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, AI Engineer - Senior Associate

akwad

<div>Job Overview: 
We are seeking a talented and experienced AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role focuses on the core ML lifecycle, from data handling and model development to deployment, optimization, and monitoring in production environments. The ideal candidate will be passionate about leveraging the latest advancements in AI, particularly in areas like Large Language Models (LLMs) and Natural Language Processing (NLP), to build intelligent systems that drive innovation and solve complex problems. 
Key Responsibilities:
<ul><li>
Design, build, train, and fine-tune various machine learning models, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP) models.
</li><li>Collaborate with data scientists and engineers to acquire, preprocess, and manage data required for model training and evaluation.
</li><li>Implement and utilize AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face transformers).
</li><li>Develop and implement APIs and integration points to make AI/ML models and services accessible to other engineering teams and systems.
</li><li>Deploy, manage, and monitor models and AI services in production environments, ensuring performance, scalability, and reliability.
</li><li>Utilize specialized AI development tools and frameworks such as LangChain, AutoGen, or other intelligent agent frameworks.
</li><li>Implement MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and retraining.
</li><li>Optimize models and inference pipelines for performance, efficiency, and cost-effectiveness.
</li><li>Stay updated with the latest research, techniques, and tools in the AI/ML field and propose new approaches.
</li><li>Collaborate effectively with product managers, data scientists, and other engineering teams (e.g., backend, frontend) to translate requirements into technical designs and integrate AI capabilities into products.
</li></ul>
Required Skills and Experience:
<ul><li>
4+ years of experience in a technical role with a strong focus on Machine Learning and AI development (ideally 2+ years dedicated AI/ML experience).
</li><li>Proficiency in Python and standard ML/AI libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
</li><li>Solid understanding of core Machine Learning concepts, algorithms, model evaluation techniques, and deployment strategies.
</li><li>Hands-on experience building, training, and deploying models, especially LLMs and NLP models.
</li><li>Experience working with LLM APIs (e.g., OpenAI, Anthropic) and relevant libraries/frameworks (e.g., Hugging Face transformers, LangChain, AutoGen).
</li><li>Familiarity with vector databases/stores (e.g., Pinecone, Weaviate, FAISS) and techniques like RAG (Retrieval Augmented Generation).
</li><li>Experience with model deployment tools and MLOps practices.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
</li><li>Understanding of API design principles for serving machine learning models.
</li><li>Strong problem-solving skills and ability to translate business problems into technical AI/ML solutions.
</li><li>Excellent communication and collaboration skills.
</li></ul>
Nice-to-Haves:
<ul><li>
Experience with specific cloud ML services (e.g., AWS SageMaker, Google AI Platform/Vertex AI, Azure ML).
</li><li>Knowledge of data engineering pipelines and ETL processes.
</li><li>Experience with distributed training frameworks.
</li><li>Contributions to open-source AI/ML projects.
</li><li>Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related quantitative field.</li></ul></div>

AI/ML Engineer

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532 ai engineer jobs IN Egypt

AI Engineer

AI Engineer

Lead AI Engineer - Applied AI Builder

ETIC, Cybersecurity - AI Engineer - Manager

AI Solution Engineer

ETIC, AI Engineer - Senior Associate

AI/ML Engineer