intelligence engineer

YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required &mdash; your domain knowledge is what matters.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize robust machine learning models for production environments.
 </li>
 <li>
 Implement and automate end-to-end ML pipelines using CI/CD best practices.
 </li>
 <li>
 Leverage AWS services for scalable AI infrastructure and model deployment.
 </li>
 <li>
 Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
 </li>
 <li>
 Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
 </li>
 <li>
 Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
 </li>
 <li>
 Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proven expertise in machine learning algorithms, model development, and deployment.
 </li>
 <li>
 Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
 </li>
 <li>
 In-depth experience with CI/CD workflows and automation tools.
 </li>
 <li>
 Hands-on expertise with AWS cloud services for ML applications and data pipelines.
 </li>
 <li>
 Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
 </li>
 <li>
 Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Experience working in high-growth or startup environments.
 </li>
 <li>
 Strong publication record or contributions to open-source AI projects.
 </li>
 </ul>
</div>

AI Engineer - Remote

Accenture

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry experience, leading-edge technologies, and a global delivery network, Accenture helps organizations accelerate innovation and drive meaningful transformation. By combining data, intelligence, and advanced engineering capabilities, we enable our clients to build scalable, high‑quality data solutions that power business decisions and operational excellence. Visit us at www.accenture.com.
 
 
 
 The Work:
 
 
 
 As a
 
 Data Engineer
 
 , you will be responsible for designing, building, and maintaining robust data solutions that support data generation, collection, migration, and processing across enterprise systems. You will play a key role in developing scalable data pipelines, ensuring data quality, and implementing ETL processes to enable reliable data movement and analytics. This role requires strong technical expertise, ownership of team decisions, and close collaboration with multiple stakeholders to deliver impactful, cross‑team solutions.
 
 
 
 Responsibilities:
 
 
 
 
 <li>
 Design, develop, and maintain end-to-end data pipelines to support data ingestion, transformation, and deployment across systems.
 
 </li>
 <li>
 Implement and manage ETL processes to ensure efficient and reliable data migration and processing.
 
 </li>
 <li>
 Ensure high standards of data quality, consistency, and integrity through continuous monitoring and optimization.
 
 </li>
 <li>
 Act as a subject matter expert, providing technical guidance and contributing to key architectural and design decisions.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective, scalable data solutions.
 
 </li>
 <li>
 Lead and support the team to ensure effective execution, timely delivery, and alignment with business objectives.
 
 </li>
 <li>
 Develop innovative data solutions that improve operational efficiency and enable data-driven decision-making.
 
 </li>
 <li>
 Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular data quality assessments and implement continuous improvements.
 
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in data engineering.
 
 
 
 </li>
 
 Qualifications:
 
 
 
 
 <li>
 minimum 10 Years of experience.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI) is required.
 
 </li>
 <li>
 Master proficiency in Data Migrations is highly recommended.
 
 </li>
 <li>
 Expert proficiency in Data Engineering, Data Pipelines, Data Processing, and Data Access is strongly preferred.
 
 </li>
 <li>
 Strong analytical, problem-solving, and collaboration skills, with the ability to work across multiple teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Manager

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Decima International

<div>
 Decima International is a professional services company, providing project management and controls services to clients in the United States and the Middle East. Our mission is to become the premier professional services provider across all industry sectors we are engaged in. To accomplish this, Decima International's founders established a simple yet powerful formula:
 
 
 Approach each client engagement as a
 
 partnership
 
 , create an environment that attracts the
 
 most talented professionals
 
 and allows them to flourish, and regulate
 
 growth
 
 to maintain
 
 excellence
 
 in our service standards.
 
 
 
 Decima International
 
 is a professional services company, providing project management and controls services to clients in the United States and the Middle East. Our mission is to become the premier professional services provider across all industry sectors we are engaged in. To accomplish this, Decima International's founders established a simple yet powerful formula:
 
 
 Approach each client engagement as a partnership, create an environment that attracts the most talented professionals and allows them to flourish, and regulate growth to maintain excellence in our service standards.
 
 
 We are looking for a driven and capable
 
 Mid-Level AI Engineer/Agentic Systems Developer
 
 to support the development of internal technology products. This role will write, configure, test, and maintain a growing library of autonomous AI agents designed to automate complex business workflows.
 
 
 Working under technical and product leadership, the successful candidate will translate functional workflow specifications into individual agents, tool integrations, data connections, and reliable automated processes. The ideal candidate has strong backend development capabilities and practical experience working with large language models, agentic frameworks, APIs, and retrieval-augmented generation pipelines.
 
 
 This is a highly hands-on development role focused on clean code execution, secure systems integration, continuous testing, effective debugging, and rapid iteration.
 
 
 We are looking to bring in dedicated individuals with a passion for innovation and talent for multitasking in a fast-paced environment. We will help you grow, pursue, and fulfill what inspires you so we can make big impacts on the world, together.
 
 
 
 RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Build and configure autonomous agent roles, task nodes, workflows, and conditional edges using frameworks such as LangGraph, CrewAI, and LlamaIndex.
 </li>
 <li>
 Integrate AI agents securely with internal databases and third-party platforms, including Slack, HubSpot, Salesforce, and Google Workspace, through APIs and function calling.
 </li>
 <li>
 Develop and refine retrieval-augmented generation pipelines, including data ingestion, text chunking, embedding generation, and vector database population.
 </li>
 <li>
 Diagnose and resolve agent failures involving context loss, malformed structured or JSON outputs, and incomplete multi-step tasks.
 </li>
 <li>
 Write automated unit tests for custom tools and monitor execution traces to identify and resolve edge-case failures.
 </li>
 <li>
 Maintain clean, reliable, and well-structured code while supporting continuous testing and rapid product iteration.
 
 
 </li>
 </ul>
 
 QUALIFICATIONS
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or related fields.
 </li>
 <li>
 
 2 to 4 years
 
 of professional experience in backend software development.
 </li>
 <li>
 
 At least 1 year
 
 of practical experience working directly with large language model APIs and prompt construction.
 </li>
 <li>
 Strong familiarity with agentic AI frameworks such as LangGraph, CrewAI, or LlamaIndex.
 </li>
 <li>
 Solid understanding of structural prompt design, including generating reliable JSON and other structured outputs.
 </li>
 <li>
 High proficiency in Python, including a practical understanding of asynchronous programming concepts.
 </li>
 <li>
 Experience developing and integrating RESTful APIs using FastAPI, Flask, or similar frameworks.
 </li>
 <li>
 Proficiency in version control and collaborative software development using Git.
 </li>
 <li>
 Working knowledge of relational databases, preferably PostgreSQL.
 </li>
 <li>
 Foundational experience using vector databases or stores such as Chroma or Pinecone for data retrieval.
 </li>
 <li>
 Experience integrating software applications with databases, APIs, and third-party platforms.
 </li>
 <li>
 Strong debugging, analytical, testing, documentation, and problem-solving skills.
 </li>
 <li>
 Ability to translate functional workflow requirements into reliable technical implementations.
 </li>
 <li>
 Ability to work independently, manage development priorities, and iterate quickly in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience developing autonomous agents or multi-agent workflows for practical business use cases.
 </li>
 <li>
 Experience implementing retrieval-augmented generation applications and data-ingestion pipelines.
 </li>
 <li>
 Experience with secure function calling and integrations involving business platforms such as Slack, HubSpot, Salesforce, or Google Workspace.
 </li>
 <li>
 Experience testing, tracing, and monitoring multi-step AI workflows in development or production environments.
 </li>
 <li>
 Familiarity with prompt evaluation, structured-output validation, and common large language model failure patterns.
 </li>
 <li>
 Experience contributing to the development of internal technology products or workflow-automation solutions.
 
 
 </li>
 </ul>
 
 POSITION DETAILS
 
 
 
 <ul>
 <li>
 
 Primary Location (Office-based):
 
 Heliopolis, Cairo, Egypt
 </li>
 <li>
 
 Position:
 
 Mid-Level AI Engineer/Agentic Systems Developer
 </li>
 <li>
 
 Position Classification:
 
 Salary-based full-time hours
 
 
 </li>
 </ul>
 
 PRODUCTIVITY TOOLS
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 LangGraph
 </li>
 <li>
 CrewAI
 </li>
 <li>
 LlamaIndex
 </li>
 <li>
 FastAPI
 </li>
 <li>
 Flask
 </li>
 <li>
 Git
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 Chroma
 </li>
 <li>
 Pinecone
 </li>
 <li>
 Microsoft Office
 </li>
 <li>
 Microsoft 365
 
 
 </li>
 </ul>
 Decima International is an Equal Opportunity Employer that is committed to the safety and well-being of all. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law.
</div>

Mid-Level AI Engineer/Agentic Systems Developer (On-site) - Cairo, Egypt

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled and experienced DevOps Engineer to join our Cloud Operations squad. The ideal candidate will have a strong background in building high-performance, scalable, mission-critical, and secure systems in the cloud to scale our infrastructure further with efficient tools such as Kubernetes and Terraform. You will drive the evolution of major parts of our growing platform, serving millions of customers across multiple countries. You will be joining our amazing and diverse team, learning and helping others to learn something new every day.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain scalable, cost-effective, and reliable systems with technologies such as Kubernetes in GCP cloud environment
 </li>
 <li>
 Improve our CI/CD process and increase the level of automation at Yassir in order to increase our efficiency
 </li>
 <li>
 Play a key role in handling incidents, and support engineering teams with their infrastructure needs
 </li>
 <li>
 Develop infrastructure as code as required
 </li>
 <li>
 Introduce processes, documentation, best practices, and tools that would help our engineering teams be more productive
 </li>
 <li>
 Automate deployment and scaling processes to minimize downtime.
 </li>
 <li>
 Continuously improve infrastructure and processes to increase efficiency and reduce costs.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Technical Skills :
 
 
 
 <ul>
 <li>
 At least 8+ years of experience in a similar role building and maintaining large-scale, distributed infrastructure environments in the cloud
 </li>
 <li>
 Strong experience with Linux administration and scripting languages (Bash, Python, TypeScript, etc)
 </li>
 <li>
 Proven Experience working with Containers and Container Orchestration technologies such as Docker, Kubernetes
 </li>
 <li>
 Proven Experience with configuration management tools such as Terraform, CDK for Terraform, and Pulumi
 </li>
 <li>
 Proven Experience working with cloud infrastructure and services (GCP, AWS, Azure) with at least 1 year of experience building and maintaining services in GCP
 </li>
 <li>
 Previous experience with CI/CD processes
 </li>
 <li>
 Previous experience with Node.js or Python
 </li>
 <li>
 Strong understanding of network protocols and security best practices.
 </li>
 <li>
 Familiar with relational and non-relational database models (MySQL, PostgreSQL, MongoDB, and Redis)
 </li>
 <li>
 Experience with ElasticSearch, LogStash, and Kibana is a plus
 </li>
 <li>
 Experience with Prometheus and Grafana is a plus.
 
 
 
 </li>
 </ul>
 
 Other key skills and traits :
 
 
 
 <ul>
 <li>
 Outstanding written &amp; verbal communication skills
 </li>
 <li>
 Demonstrated ability to prioritize, self-start, contribute under pressure, and meet tight deadlines
 </li>
 <li>
 Highly organized, creative, and critical thinker
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Comfortable working in an entrepreneurial environment
 </li>
 <li>
 Organized and obsessive about details
 </li>
 <li>
 Hard-working, passionate, and looking to embrace the challenge
 </li>
 <li>
 Bachelor's Degree in Computer Science or related field.
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior DevOps Engineer - Financial Services

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as a
 
 Senior AI Software Engineer
 
 . In this role, you will take ownership of the design, development, and deployment of AI-powered web applications that serve our internal teams and global clients. You will lead technical initiatives, define architectural standards, and mentor junior engineers, while working across the full stack from application code to AI integration and cloud infrastructure.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Application Development:
 
 
 <ul>
 <li>
 Architect and lead the development of scalable, production-grade web applications, primarily using Python (FastAPI) for the backend and React, Next.js, or Vue for the frontend, while remaining adaptable to other technologies based on project scope and requirements.
 </li>
 <li>
 Define and enforce coding standards, design patterns, and architectural best practices across the engineering team to ensure maintainability and scalability.
 </li>
 <li>
 Lead code reviews, provide technical feedback to junior engineers, and actively contribute to building a high-quality engineering culture.
 </li>
 <li>
 Collaborate with stakeholders and product teams to translate business requirements into robust technical solutions, owning features end-to-end.
 </li>
 </ul>
 
 
 
 
 
 AI &amp; LLM Integration:
 
 
 <ul>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability and performance in production.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, and query optimization for large-scale enterprise use cases.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Design and maintain robust REST API integrations with third-party AI services and enterprise SaaS platforms, ensuring data integrity and performance at scale.
 </li>
 <li>
 Implement LLM observability and monitoring strategies to ensure transparency, reliability, and continuous improvement of AI features in production environments.
 </li>
 </ul>
 
 
 
 
 
 Deployment &amp; DevOps:
 
 
 <ul>
 <li>
 Lead the containerization and cloud deployment of applications, preferably on Google Cloud Platform (GCP) using GKE and Artifact Registry, while remaining open to other cloud environments based on project requirements.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools, applying GitOps principles and automated deployment workflows to ensure reliable and repeatable releases.
 </li>
 <li>
 Own the reliability and performance of production environments, proactively identifying bottlenecks and driving resolution of infrastructure and application issues.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in software engineering and AI development, with a proven track record of delivering production-grade web applications and AI-powered systems.
 </li>
 <li>
 Strong proficiency in Python and a backend framework (preferably FastAPI), with solid experience in a modern frontend framework such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, and production-grade AI service integration (e.g., OpenAI, Gemini, LangChain or equivalent), including observability and performance monitoring.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform (AWS, Azure, GCP, or equivalent), with familiarity with container orchestration and artifact management services.
 </li>
 <li>
 Proven experience designing and maintaining CI/CD pipelines using GitHub Actions or similar tools, with strong command of GitOps workflows and branching strategies.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior engineers, and collaborate effectively with product teams and non-technical stakeholders.
 </li>
 <li>
 Experience integrating AI outputs into analytical workflows, dashboards, or data pipelines in a client delivery context.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, and embedding model optimization for production environments.
 </li>
 <li>
 Experience with Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Developer or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

Data Analytics - Sr. Software Engineer with AI background - Cairo

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are seeking an experienced
 
 Head of Data &amp; AI
 
 to lead the organization's data, analytics, and artificial intelligence strategy, driving innovation across our digital banking platform.
 
 
 In this leadership role, you will be responsible for defining and executing the enterprise data strategy, building scalable data platforms, leading AI initiatives, and establishing data governance practices that enable data-driven decision-making.
 
 
 You will lead multidisciplinary teams of data engineers, data analysts, BI developers, database administrators, AI specialists, and product managers while collaborating closely with executive leadership to deliver strategic business outcomes.
 
 
 Key Responsibilities
 
 
 Data &amp; AI Strategy
 
 <ul>
 <li>
 Define and execute the organization's Data &amp; AI strategy aligned with business objectives.
 </li>
 <li>
 Build a long-term roadmap for data platforms, analytics, business intelligence, and AI capabilities.
 </li>
 <li>
 Drive innovation through advanced analytics, machine learning, and AI solutions.
 </li>
 </ul>
 
 Leadership &amp; Team Management
 
 <ul>
 <li>
 Build, mentor, and lead high-performing Data &amp; AI teams.
 </li>
 <li>
 Foster a culture of innovation, collaboration, and continuous improvement.
 </li>
 <li>
 Support career development, performance management, and technical mentoring.
 </li>
 </ul>
 
 Data Platform &amp; Architecture
 
 <ul>
 <li>
 Oversee the design and evolution of enterprise data platforms and architectures.
 </li>
 <li>
 Ensure scalable, secure, and highly available data infrastructure.
 </li>
 <li>
 Drive modernization of data engineering and data warehousing capabilities.
 </li>
 </ul>
 
 AI &amp; Advanced Analytics
 
 <ul>
 <li>
 Lead AI and machine learning initiatives from ideation through production deployment.
 </li>
 <li>
 Identify opportunities to leverage AI for customer experience, fraud detection, personalization, and operational efficiency.
 </li>
 <li>
 Collaborate with product and engineering teams to embed AI capabilities into digital products.
 </li>
 </ul>
 
 Data Governance
 
 <ul>
 <li>
 Establish enterprise data governance, quality, security, and compliance standards.
 </li>
 <li>
 Ensure compliance with regulatory requirements and data privacy policies.
 </li>
 <li>
 Define enterprise-wide data standards and best practices.
 </li>
 </ul>
 
 Stakeholder Management
 
 <ul>
 <li>
 Partner with executive leadership to define strategic priorities.
 </li>
 <li>
 Translate business needs into scalable technology solutions.
 </li>
 <li>
 Present roadmaps, KPIs, and progress updates to senior management.
 </li>
 </ul>
 
 Delivery &amp; Innovation
 
 <ul>
 <li>
 Oversee delivery of strategic data initiatives across engineering, product, and business teams.
 </li>
 <li>
 Monitor project execution, budgets, risks, and resource allocation.
 </li>
 <li>
 Continuously evaluate emerging technologies and industry trends.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 
 10+ years of experience
 
 in Data Engineering, Analytics, AI, or Data Management.
 </li>
 <li>
 
 5+ years leading enterprise Data &amp; AI teams.
 
 </li>
 <li>
 Proven experience building and scaling enterprise data platforms.
 </li>
 </ul>
 
 Technical Expertise
 
 <ul>
 <li>
 Data Engineering
 </li>
 <li>
 Data Warehousing
 </li>
 <li>
 Data Lakes
 </li>
 <li>
 ETL / ELT
 </li>
 <li>
 Streaming Data Platforms
 </li>
 <li>
 Cloud Data Platforms
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Artificial Intelligence
 </li>
 <li>
 Business Intelligence
 </li>
 </ul>
 
 Leadership
 
 <ul>
 <li>
 Strong people leadership and organizational management skills.
 </li>
 <li>
 Experience managing multidisciplinary technical teams.
 </li>
 <li>
 Executive stakeholder management experience.
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strategic thinking and business acumen.
 </li>
 <li>
 Excellent communication and presentation skills.
 </li>
 <li>
 Strong analytical and problem-solving capabilities.
 </li>
 <li>
 Ability to influence senior stakeholders and drive organizational change.
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience in
 
 Banking, Financial Services, or FinTech
 
 </li>
 <li>
 Experience leading enterprise digital transformation initiatives.
 </li>
 <li>
 Knowledge of:
 </li>
 <li>
 Cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Big Data technologies
 </li>
 <li>
 AI/ML platforms
 </li>
 <li>
 Data Governance frameworks
 </li>
 <li>
 Experience implementing enterprise AI solutions.
 </li>
 <li>
 Master's degree in Computer Science, Data Science, AI, or MBA is a plus.
 </li>
 </ul>
</div>

Head of Data & AI

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