senior devops engineer

full stack developer

devops engineer

ai engineer - remote

ai platform engineer

full stack engineer

🌮⭐️ TacoStars

<div>
 Foodics
 
 
 Software Engineering
 
 
 Cairo, Cairo Governorate, Egypt
 
 
 Posted on Jun 9, 2026
 
 
 Apply now
 
 
 
 Who Are We
 
 ❓
 
 
 
 We Are Foodics!
 
 a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 We're hiring a Senior Engineer to lead significant pieces of work on our platform - from shaping the problem with Product, through designing the solution, to shipping it and supporting it in production. You'll be a key technical voice on the team, helping to set the bar for what good looks like and mentoring others as you go. You'll be working with modern PHP and TypeScript/React on a platform that processes hundreds of thousands of orders a week. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Lead the development of new features end-to-end - from refining the requirements with Product through to shipping and monitoring in production.
 </li>
 <li>
 Drive the technical design of significant system changes and set development standards for the Backend team.
 </li>
 <li>
 Mentor others and be willing to learn from them in turn.
 </li>
 <li>
 Enthuse about new technology and look for pragmatic opportunities to enhance our existing technology stack.
 </li>
 <li>
 Operate with autonomy: identify problems, propose solutions, and follow through without needing to be managed.
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 
 Backend depth:
 
 Comfortable leading non-trivial work in modern PHP (7/8+) - Object-Oriented Design, testability, and the trade-offs of common patterns are second nature.
 
 
 
 Frontend competence:
 
 Can ship production React/TypeScript features end-to-end without supervision.
 
 
 
 Scale experience:
 
 You've worked on high-traffic web applications and understand what breaks at scale - database hotspots, caching, queueing, idempotency, observability.
 
 
 
 Relational databases:
 
 Practical experience with MySQL or similar - you can read an EXPLAIN plan and fix a slow query without guessing.
 
 
 
 Integration work:
 
 Experience designing and consuming HTTP APIs, including handling the messy realities of third-party reliability.
 
 
 
 AI-assisted development:
 
 You use modern AI coding tools (Claude Code, Cursor, Copilot or similar) as part of your daily workflow - and you have a healthy scepticism of their output. You can tell when the model is bluffing and you don't merge code you don't understand.
 
 
 
 Product partnership:
 
 Can work with Product Managers to refine requirements, push back constructively, and give honest estimates.
 
 
 
 Communication:
 
 Can explain technical decisions to non-engineers and write clearly enough that async collaboration actually works.
 
 
 
 Judgment:
 
 Strong problem-solving, attention to detail, and the instinct to ask "do we actually need this?" before adding complexity.
 
 
 
 Who Will Excel❓
 
 
 
 <ul>
 <li>
 DevOps experience with a major cloud provider (AWS / GCP / Azure).
 </li>
 <li>
 Kubernetes, CI/CD pipelines.
 </li>
 <li>
 Python, Node, or other backend languages - we care more about polyglot instinct than the specific stack.
 </li>
 <li>
 Elasticsearch, GraphQL.
 </li>
 <li>
 Experience evaluating or building features that incorporate LLMs into a product (prompt design, RAG, evals, cost/latency trade-offs).
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 <ul>
 <li>
 Curated career progression planning with formal yearly reviews and informal check-ins along the way.
 </li>
 <li>
 Encouragement to grow into a Feature Development Lead.
 </li>
 <li>
 A competitive salary.
 </li>
 <li>
 Ample time to learn new concepts - including paid development and business-related conferences.
 </li>
 <li>
 Fully remote working, no commuting expenses.
 </li>
 <li>
 Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.
 </li>
 <li>
 25 days holiday (plus bank holidays), with an additional day per year of service.
 </li>
 <li>
 Regular all-company socials and quarterly team socials.
 </li>
 <li>
 A team that genuinely likes learning and shipping together.
 
 
 </li>
 </ul>
 Apply now
 
 
 See more open positions at Foodics
</div>

Senior Full Stack Engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 
 About the role
 
 
 
 
 
 We&rsquo;re looking for a Senior Full Stack Software Engineer who can help us build a high performance, scalable e-commerce platform.
 
 
 
 
 You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance software systems using C#, .NET, TypeScript (ES6), React.js, Redux, RxJS, Webpack, and GraphQL
 </li>
 <li>
 Collaborate with a cross-functional team to define, design, and ship new features
 </li>
 <li>
 Lead the system design, testing and coding standards efforts, contributing with clean &amp; high-performance code and architecture
 </li>
 <li>
 Implement modern best practices and patterns in software engineering
 </li>
 <li>
 Mentor software engineers
 </li>
 <li>
 Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented
 </li>
 <li>
 Troubleshoot, debug, and upgrade existing software
 </li>
 <li>
 Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 </li>
 <li>
 5+ years of experience in software development, with a strong background in web development using C#, .NET and React
 </li>
 <li>
 You have a strong engineering mindset and experience in having end to end ownership of the software you build (DevOps, testing, system design, observability, git version control)
 </li>
 <li>
 You have solid experience with reactive programming principles and flux architecture
 </li>
 <li>
 You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design
 </li>
 <li>
 You have a strong drive to continuously improve your craft
 </li>
 <li>
 You have a passion for mentoring and guiding team members
 </li>
 <li>
 You&rsquo;ve fully embraced generative AI tools, and you&rsquo;ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality
 </li>
 <li>
 You are experienced in working in an agile environment
 </li>
 <li>
 You have excellent problem-solving skills
 </li>
 <li>
 Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash;
 
 Work from our Alexandria office 3 days per week
 
 and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Full Stack Software Engineer - Alexandria

Valeo

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 Mission
 
 
 
 GISACC is Valeo holding group IS application center in Cairo, where the company's digital transformation is taken to a new level. We aim to build scalable and serverless applications that incrementally add value everyday. Our Senior Full Stack developers engineers are a very crucial part in achieving this where they play a big role in modifying and improving existing systems. This role requires deep technical expertise, and communication abilities to facilitate the communication and alignment between different technical and business stakeholders.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Spec, design, develop, test, deploy, maintain and improve software
 </li>
 <li>
 Contribute to system architecture~ Design scalable, secure, and high-performance systems.
 </li>
 <li>
 Work closely with project managers and business owners to set project priorities, deadlines and deliverables
 </li>
 <li>
 Collaborate with product owners, tech-leads and software architects on user experience and application development roadmap
 </li>
 <li>
 Provide support to other team members across multiple software applications.
 </li>
 <li>
 Responsible for full stack feature implementation (backend and frontend)
 </li>
 <li>
 End to end and close collaboration with software/infrastructure architects on complex features
 </li>
 <li>
 Identify and establish patterns and best practices for building excellent software applications
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 BSc degree in computer engineering, computer science or any similar technical field of study.
 
 
 </li>
 </ul>
 
 
 Professional
 
 
 Experience and
 
 
 
 
 Key Competences
 
 
 
 
 <ul>
 <li>
 3 to 6 years of relevant experience.
 </li>
 <li>
 Good knowledge in Agile Scrum
 </li>
 <li>
 Business processes understanding
 </li>
 <li>
 Excellent problem-solving skills
 </li>
 <li>
 Excellent Troubleshooting and debugging skills
 </li>
 <li>
 Team spirit and excellent communication abilities
 </li>
 <li>
 Good Client management skills and organizational skills
 </li>
 <li>
 GCP &amp; Cloud Operations related knowledge is a must
 </li>
 <li>
 Good DevOps knowledge is a plus
 </li>
 <li>
 Good knowledge in monitoring or log analysis tools (ex. Cloud Logging, Cloud Monitoring, Error Reporting, &hellip;)
 </li>
 <li>
 Good knowledge in Terraform and Cloud automation is a plus
 </li>
 <li>
 Azure, AWS, or GCP certifications are a plus.
 
 
 </li>
 </ul>
 
 
 Languages
 
 
 
 
 <ul>
 <li>
 Excellent command of English language is a must (Written and Verbal)
 </li>
 <li>
 French is a plus.
 
 
 </li>
 </ul>
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Software development experience in Java and Spring framework
 </li>
 <li>
 Strong fundamentals of distributed systems and highly scalable applications on cloud platforms
 </li>
 <li>
 Excellent proficiency of developing applications using SQL or NoSQL databases
 </li>
 <li>
 Solid concepts grasp of OOP, design patterns and REST APIs
 </li>
 <li>
 Excellent foundations of the latest web standards, including HTML5 and CSS3
 </li>
 <li>
 Knowledge of web libraries and frameworks such as Angular, VueJS or React
 </li>
 <li>
 Knowledge of backend web libraries and frameworks such as Spring
 </li>
 <li>
 Configuration management proficiency using Git
 </li>
 <li>
 Experience with CI/CD concepts and pipelines
 </li>
 <li>
 Experience with any Cloud Platform is a must (GCP/AWS/Azure)
 </li>
 <li>
 Highly analytical mindset and problem solving skills
 </li>
 <li>
 Excellent troubleshooting and debugging skills
 </li>
 <li>
 Working proficiency and communication skills in verbal and written English
 </li>
 <li>
 High sense of ownership and responsibility
 </li>
 <li>
 Familiarity with Google Cloud Platform or AWS is a plus
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D IS Engineer
 
 
 
 D&eacute;partement~
 
 
 
 R&amp;D DSIS App Team
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2025-01-20
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Senior Full Stack Developer, GISACC

Alignerr

<div>
 
 About The Role
 
 
 
 What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Cairo to build, evaluate, and improve AI-generated code &mdash; helping train AI systems to think like real developers.
 
 
 You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development &mdash; not theoretical, not bureaucratic, and not boring.
 
 
 This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Write, debug, and optimize code across a range of languages, frameworks, and problem domains
 </li>
 <li>
 Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
 </li>
 <li>
 Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
 </li>
 <li>
 Provide structured, detailed feedback explaining why code works &mdash; or doesn't
 </li>
 <li>
 Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
 </li>
 <li>
 Compare and rank multiple AI-generated solutions based on engineering quality
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software design principles
 </li>
 <li>
 Able to read, write, and reason about code with clarity and precision
 </li>
 <li>
 Strong problem-solving instincts and a systematic debugging approach
 </li>
 <li>
 Clear written communicator &mdash; you can explain technical decisions in plain language
 </li>
 <li>
 Self-motivated and reliable when working independently without supervision
 </li>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field &mdash; or equivalent practical experience
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
 </li>
 <li>
 Familiarity with AI/ML concepts, LLMs, or prompt engineering
 </li>
 <li>
 Background in code review, technical writing, or mentoring junior developers
 </li>
 <li>
 Experience with cloud platforms, DevOps, or distributed systems
 </li>
 <li>
 Competitive programming, open-source contributions, or side projects that demonstrate your craft
 </li>
 <li>
 Advanced degree in Computer Science or related discipline
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with intellectually stimulating, high-impact work
 </li>
 <li>
 Directly influence how AI writes, understands, and reasons about code
 </li>
 <li>
 Sharpen your own engineering skills by evaluating diverse problems daily
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer (AI Training)

<div>
 
 
 Key Responsibilities
 
 
 
 
 As a Graduate Internship Trainee in the VITE R&amp;I Team, you will be actively involved in:
 
 
 <ul>
 <li>
 Develop and maintain responsive, scalable web applications supporting automotive and mobility use cases.
 </li>
 <li>
 Assist in implementing dynamic frontend components and enhancing UX using modern frameworks (e.g., React, Angular).
 </li>
 <li>
 Build and integrate backend services (e.g., RESTful APIs) and manage server-side logic using cloud-native patterns.
 </li>
 <li>
 Design, deploy, and monitor web applications hosted on cloud infrastructure (e.g., AWS EC2, S3, Lambda, API Gateway).
 </li>
 <li>
 Support the setup and maintenance of cloud resources, including networking, storage, and user authentication (e.g., Cognito, IAM).
 </li>
 <li>
 Contribute to Infrastructure-as-Code efforts (e.g., Terraform scripts) for environment provisioning.
 </li>
 <li>
 Collaborate on implementing AI models or other research features into functional web-based prototypes.
 </li>
 <li>
 Conduct end-to-end testing, performance profiling, and deployment validation to ensure production-readiness of web/cloud systems.
 </li>
 <li>
 Document deployment processes, architecture decisions, and system interactions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Academic Status: Must be a 2024- 2025 Graduate.
 </li>
 <li>
 Educational Background: Bachelor's degree in Mechatronics, Computer Engineering, Computer Science or a closely related field.
 </li>
 <li>
 Language Proficiency: Excellent command of both English and Arabic (written and verbal communication is essential). French is a strong plus.
 </li>
 <li>
 Proficiency in HTML, CSS, JavaScript, and at least one frontend library (React, Angular).
 </li>
 <li>
 Solid understanding of RESTful APIs, client-server communication, and asynchronous data handling.
 </li>
 <li>
 Working knowledge of Node.js, Flask, or similar backend frameworks.
 </li>
 <li>
 Familiarity with cloud services such as AWS Lambda, S3, API Gateway, CloudFront, Cognito, and IAM.
 </li>
 <li>
 Basic experience with containerization (Docker) and scripting (Python, Bash).
 </li>
 <li>
 Understanding of web infrastructure concepts (e.g., DNS, SSL/TLS, load balancing).
 </li>
 <li>
 Experience with version control (Git) and debugging tools for both frontend and backend layers.
 </li>
 <li>
 Strong analytical and documentation skills, with a collaborative mindset for agile prototyping teams.
 </li>
 <li>
 Preferred (Plus): Experience writing Infrastructure-as-Code (e.g., Terraform).
 
 
 </li>
 </ul>
 
 Program Details
 
 
 
 
 Status:
 
 Full time.
 
 
 
 Location:
 
 On-site.
 
 
 
 Disclaimer:
 
 The successful candidate will be hired as a contractor and will be part of the VITE R&amp;I Team at Valeo
</div>

Graduate In Training Program (GIT), Full-Stack Cloud Web

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

Datamatics Technologies

<div>
 Job Description: Data Science &amp; Analytics Engineer
 
 
 Job Title:
 
 Data Science &amp; Analytics Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are looking for a talented
 
 Data Science &amp; Analytics Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, and deploy predictive and analytical models to solve business problems
 </li>
 <li>
 Perform data exploration, statistical analysis, feature engineering, and model evaluation
 </li>
 <li>
 Build interactive dashboards, reports, and visualizations for business stakeholders
 </li>
 <li>
 Develop scalable data analytics solutions using modern cloud and big data platforms
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
 </li>
 <li>
 Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Ensure data quality, governance, and best practices across analytics initiatives
 </li>
 <li>
 Present analytical findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Continuously improve analytics processes, reporting capabilities, and model performance
 </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
 <li>
 Strong proficiency in
 
 Python or R
 
 for data analysis, statistical modeling, and machine learning
 </li>
 <li>
 Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
 </li>
 </ul>
 Data Science Platforms
 <ul>
 <li>
 Hands-on experience with
 
 Databricks or Dataiku
 
 for data science, machine learning, and collaborative analytics
 </li>
 <li>
 Experience developing end-to-end analytical workflows and model deployment
 </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
 <li>
 Strong experience with
 
 Power BI or Tableau or Looker
 
 for dashboard development and data visualization
 </li>
 <li>
 Ability to create interactive reports and executive-level dashboards
 </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
 <li>
 Experience with
 
 BigQuery or Snowflake
 
 for large-scale analytics and data warehousing
 </li>
 <li>
 Strong understanding of SQL, data modeling, and analytical query optimization
 </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
 <li>
 Experience with statistical analysis, forecasting, classification, clustering, and regression models
 </li>
 <li>
 Familiarity with machine learning libraries and model evaluation techniques
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in Data Science, Business Analytics, or Advanced Analytics
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
 </li>
 <li>
 Knowledge of MLOps, model deployment, and AI-driven analytics
 </li>
 <li>
 Experience with ETL/ELT processes and data engineering concepts
 </li>
 <li>
 Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
 </li>
 <li>
 Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Programming Languages:
 
 
 Python or R
 
 </li>
 <li>
 
 Data Science Platforms:
 
 
 Databricks or Dataiku
 
 </li>
 <li>
 
 Business Intelligence:
 
 
 Power BI or Tableau or Looker
 
 </li>
 <li>
 
 Data Warehouse:
 
 
 BigQuery or Snowflake
 
 </li>
 <li>
 
 Analytics:
 
 Statistical Analysis
 
 and
 
 Predictive Modeling
 
 and
 
 Machine Learning
 
 and
 
 Data Visualization
 </li>
 <li>
 
 Cloud Platforms:
 
 
 AWS or Microsoft Azure or Google Cloud Platform
 
 (Preferred)
 </li>
 </ul>
</div>

Data Science & Analytics Engineer

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