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Datamatics Technologies

<div>
 Job Description: AI / ML Engineer
 
 
 Job Title:
 
 AI / ML Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 &nbsp;
 
 
 Riyadh (Onsite)
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking a skilled
 
 AI / ML Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, train, and deploy machine learning and deep learning models for enterprise applications
 </li>
 <li>
 Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment
 </li>
 <li>
 Develop Generative AI and LLM-powered applications using modern AI frameworks
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions
 </li>
 <li>
 Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security
 </li>
 <li>
 Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation
 </li>
 <li>
 Implement MLOps best practices including model versioning, monitoring, and CI/CD automation
 </li>
 <li>
 Stay current with advancements in AI, machine learning, and cloud AI services
 </li>
 </ul>
 Required Technical SkillsCloud AI Platforms
 <ul>
 <li>
 Hands-on experience with
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 Experience with
 
 Azure OpenAI or AWS Bedrock
 
 for Generative AI solutions
 </li>
 <li>
 Experience with
 
 BigQuery ML and Dataflow
 
 for data processing and machine learning workflows
 </li>
 </ul>
 Programming &amp; Machine Learning
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 </li>
 <li>
 Experience developing machine learning solutions using
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts
 </li>
 </ul>
 Generative AI &amp; LLM Frameworks
 <ul>
 <li>
 Experience with
 
 Hugging Face and LangChain
 
 for building LLM-powered applications
 </li>
 <li>
 Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred
 </li>
 </ul>
 Data Engineering &amp; Analytics
 <ul>
 <li>
 Experience with
 
 Databricks
 
 for data engineering, model development, and analytics workflows
 </li>
 <li>
 Strong understanding of data preprocessing, feature engineering, and large-scale data processing
 </li>
 </ul>
 MLOps &amp; Deployment
 <ul>
 <li>
 Experience deploying machine learning models into production
 </li>
 <li>
 Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in AI, Machine Learning, or Data Science
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Experience working in Agile development environments
 </li>
 <li>
 Excellent communication and collaboration skills
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with Large Language Models (LLMs) and Generative AI applications
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents
 </li>
 <li>
 Experience with distributed model training and cloud-native AI architectures
 </li>
 <li>
 Cloud certifications in AWS, Azure, or Google Cloud are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Cloud AI:
 
 
 GCP Vertex AI or Azure Machine Learning or AWS SageMaker
 
 </li>
 <li>
 
 Generative AI:
 
 
 Azure OpenAI or AWS Bedrock
 
 
 and
 
 Large Language Models (LLMs)
 </li>
 <li>
 
 Data Processing:
 
 
 BigQuery ML and Dataflow
 
 
 and
 
 Databricks
 </li>
 <li>
 
 Programming:
 
 Python
 </li>
 <li>
 
 Machine Learning Frameworks:
 
 
 TensorFlow or PyTorch
 
 </li>
 <li>
 
 LLM Frameworks:
 
 
 Hugging Face or LangChain
 
 </li>
 <li>
 
 MLOps:
 
 Docker
 
 and
 
 Kubernetes
 
 and
 
 CI/CD (Preferred)
 </li>
 </ul>
</div>

AI / ML Engineer

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

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

Siemens EDA (Siemens Digital Industries Software)

<div>
 Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design.
 
 
 
 Position Overview
 
 
 
 We are looking for a passionate
 
 AI/ML Software Engineer
 
 to join our technology and innovation team in Cairo, Egypt. You will be responsible for designing, developing, and deploying cutting-edge solutions that leverage modern programming languages, frameworks, and emerging AI/ML technologies. Working on both front-end and back-end development, you'll collaborate with partners and customers to deliver high-quality, cost-effective solutions while driving innovation in Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning&mdash;from concept to deployment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, test, and deploy web applications and services using modern programming languages, frameworks, and tools for both front-end and back-end development.
 </li>
 <li>
 Develop products and prototypes in one or more of the following areas: Large Language Models (LLMs), Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML).
 </li>
 <li>
 Collaborate with partners and customers to deliver high-quality, cost-effective solutions.
 </li>
 <li>
 Drive the software development lifecycle by owning assigned features from concept to deployment, including design, code reviews, acceptance testing, and release.
 </li>
 <li>
 Produce innovative, high-quality software solutions for development teams and customers.
 </li>
 <li>
 Adhere to Siemens processes, quality standards, and engineering guidelines.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's, Master's, or Ph.D. degree in Computer Engineering, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 Proven experience in developing web applications across diverse industries.
 </li>
 <li>
 Proficiency in one or more programming languages, such as Python, Java, and/or JavaScript. Experience with UI frameworks such as ReactJS and Angular is a plus.
 </li>
 <li>
 Strong understanding of data structures, data modeling, software architecture, and software design principles.
 </li>
 <li>
 Hands-on experience in web, cloud, and mobile application development for AI- and ML-based solutions.
 </li>
 <li>
 Hands-on experience designing and developing software applications for web, cloud, and IoT platforms, such as AWS, Google Cloud, Microsoft Azure, or IBM Bluemix.
 </li>
 <li>
 Experience with machine learning frameworks (e.g., Keras or PyTorch) and libraries (e.g., scikit-learn) is a plus.
 </li>
 <li>
 Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes, is a plus.
 </li>
 <li>
 Passion for writing clean, maintainable, and efficient code.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Why Us
 
 
 
 At Siemens Software, flexibility is how we work&mdash;hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 
 Compensation &amp; Benefits
 
 
 
 The salary range for this position is $23, 900 to $47,800 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/
 
 
 
 Diversity &amp; Inclusion
 
 
 
 We value equal opportunities and welcome applications from people of all backgrounds. At Siemens, we believe that diversity of thought and experience drives innovation. We are committed to creating an inclusive workplace and ensuring that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations.
 
 
 Siemens Software. Transform the Everyday
 
 
</div>

AI/ML Software Engineer

<div>
 
 
 We're Hiring: AI &amp; Automation Analyst
 
 
 
 We are looking for an
 
 AI &amp; Automation Analyst
 
 to join our team. This is an exciting opportunity for professionals with a passion for Artificial Intelligence, Machine Learning, and Automation to contribute to innovative solutions that enhance business processes and drive digital transformation.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Analyze business needs and identify opportunities for AI and automation.
 </li>
 <li>
 Design, develop, and implement AI solutions and automated workflows.
 </li>
 <li>
 Build and deploy machine learning models and automation scripts.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver business-driven technology solutions.
 </li>
 <li>
 Prepare, analyze, and manage data to support AI initiatives.
 </li>
 <li>
 Monitor, test, and continuously improve AI and automation solutions.
 </li>
 <li>
 Ensure compliance with data privacy and security standards.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, or a related field.
 </li>
 <li>
 1&ndash;3 years of experience in AI technologies, Machine Learning, and Automation.
 </li>
 <li>
 Proficiency in Python, R, or Java.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Experience with automation tools and integrating AI solutions into business processes.
 </li>
 <li>
 Certifications in AI, Machine Learning, RPA, or PMP are considered an advantage.
 </li>
 <li>
 Experience within the FMCG industry is a plus.
 </li>
 </ul>
 
 
 
</div>

AI and Automation Analyst

Lua AI (YC F25)

<div>
 
 Location: Cairo, Egypt (remote / hybrid) &middot; Reports to: Head of Operations - MENA
 
 
 &nbsp;
 
 
 
 About Lua
 
 
 
 Lua is the Agent OS. We build digital employees &mdash; agents that do a real job end to end: they read a company&rsquo;s own systems, make the decision, take the action, and get a little better every time they run. Not chatbots that answer questions &mdash; digital workers that do the work, on the company&rsquo;s own data and workflows, and everything they build stays owned by the business. Teams write their logic on Lua (agents, skills, tools, jobs, webhooks, guardrails) and we run the hard parts underneath: infrastructure, multi-provider model orchestration, data, channels (WhatsApp, Slack, Email, Instagram, Messenger, a voice-capable website widget, HTTP API) and monitoring.
 
 
 Our customers are the companies that run their markets &mdash; the operator of one of the world&rsquo;s most-visited heritage sites, a major travel-and-hospitality group, the largest supermarket chain in its country, a listed conglomerate spanning healthcare and consumer goods, large regional banks, social-commerce companies and a microinsurer covering over a million people &mdash; across Africa, the Middle East and South Asia. Together they employ 64,000+ people and turn over $5bn+ a year, and they all want the same thing: to be AI-native on the systems they already run, with nothing to rip out. Backed by Y Combinator, we&rsquo;ve raised $5.8M &mdash; and this is a chance to build the playbook, not inherit one.
 
 
 
 
 
 
 Responsibilities
 
 
 
 We&rsquo;re looking for a junior engineer to join the implementation team and help build and deploy AI agents for our mid-market customers. You&rsquo;ll work alongside a senior implementation engineer, learning the Lua platform and contributing to live customer projects from your first week.
 
 
 This is an apprentice-track role with a clear growth path. You&rsquo;ll start with structured work &mdash; environment setup, testing, knowledge base configuration &mdash; and grow into owning full implementations within 6 months.
 
 <ul>
 <li>
 
 Build agent skills and tools
 
 in TypeScript using the Lua CLI &mdash; the functions that let agents take real actions like API calls, data lookups, and webhook triggers.
 </li>
 <li>
 
 Set up and configure agent environments
 
 : sandbox for development, production for live deployments.
 </li>
 <li>
 
 Configure and manage client knowledge bases
 
 &mdash; the information agents use to answer questions and follow business rules.
 </li>
 <li>
 
 Run QA
 
 and testing cycles before deployment &mdash; test across channels (WhatsApp, web, Slack) and flag issues.
 </li>
 <li>
 Support the senior engineer on active implementations across the full build lifecycle.
 </li>
 <li>
 Write and maintain technical documentation for each implementation.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 
 1&ndash;2 years writing code
 
 &mdash; professional experience, bootcamp, side projects, or university projects. You need to be comfortable in TypeScript or JavaScript.
 </li>
 <li>
 
 Familiarity with REST APIs, JSON, and basic web architecture.
 
 You know what an endpoint is and how to test with Postman or similar.
 </li>
 <li>
 A fast learner who figures things out by doing, not by waiting for instructions. The platform, CLI, and agent architecture will all be new.
 </li>
 <li>
 Strong written communication &mdash; you&rsquo;ll be in Slack daily, writing updates, flagging blockers, and documenting your work.
 </li>
 <li>
 Reliable. When you say something is done and tested, it needs to actually be done and tested.
 </li>
 <li>
 Fluent in Arabic and English
 </li>
 </ul>
 
 
 
 
 Nice to have
 
 <ul>
 <li>
 Experience with any chatbot or conversational AI platform.
 </li>
 <li>
 Familiarity with WhatsApp Business API, Slack API, or similar messaging platforms.
 </li>
 <li>
 Comfortable with Git, GitHub, and CLI tooling.
 </li>
 <li>
 Previous remote work experience.
 </li>
 </ul>
 
 
 
 
 
 Growth Path
 
 
 <ul>
 <li>
 
 Months 1&ndash;3:
 
 Support builds, learn the platform, follow the runbook, handle structured work.
 </li>
 <li>
 
 Months 3&ndash;6:
 
 Own specific integrations within an implementation. Run client test sessions.
 </li>
 <li>
 
 Months 6&ndash;12:
 
 Own an implementation end-to-end. Client-facing. Responsible for time-to-value on your accounts.
 </li>
 </ul>
 
 
 
 
 
 What we offer
 
 
 <ul>
 <li>
 Hybrid - Most of our work is remote.
 </li>
 <li>
 Small team, massive ownership. No bureaucracy. Ship and iterate.
 </li>
 <li>
 Direct access to the founding team. Your work is visible and impactful from day one.
 </li>
 <li>
 A platform that&rsquo;s actually in production with real customers &mdash; not a pre-product startup.
 </li>
 </ul>
 
 
 
</div>

Junior Implementation Engineer, MENA

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.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </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 office in Alexandria 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 Data Engineer - Alexandria

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