senior data scientist

data engineer

principal ai engineer

senior data analyst

senior devops engineer

senior software engineer analytics

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 Job Description
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
 
 
 <ul>
 <li>
 Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.
 </li>
 <li>
 Ensure data is structured to support self-service analytics and business intelligence.
 </li>
 <li>
 Work closely with data engineers to define data requirements and enhance ETL pipelines.
 </li>
 <li>
 Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
 </li>
 <li>
 Implement and enforce data quality best practices to ensure accuracy and consistency.
 </li>
 <li>
 Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.
 </li>
 <li>
 Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 Strong proficiency in Python, SQL and experience with dbt for data modeling.
 </li>
 <li>
 Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
 </li>
 <li>
 Familiarity with version control (Git) and CI/CD practices for data workflows.
 </li>
 <li>
 Understanding of data engineering principles, including ETL/ELT processes.
 </li>
 </ul>
</div>

Analytics Engineer II

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 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

Valeo

<div>
 
 You will be joining the
 
 AI4ALL
 
 initiative within our Group IS Application Center (GISACC). This agile team is dedicated to revolutionizing our products and internal tools by harnessing the power of cutting-edge
 
 Generative AI
 
 . We aim to build scalable, serverless, and intelligent applications that seamlessly integrate into Valeo&rsquo;s workflow.
 
 
 
 
 
 Mission
 
 
 
 
 
 As a
 
 Senior AI Data Engineer
 
 , you will bridge the gap between raw enterprise data and our Generative AI ecosystem. You will architect the "nervous system" of our AI models, ensuring our LLMs have access to high-quality, real-time, and contextually relevant data to power the next generation of Valeo&rsquo;s Software Defined Vehicle (SDV) tools and internal processes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Advanced RAG Architecture: Design and implement end-to-end pipelines for Retrieval-Augmented Generation (RAG), including advanced retrieval techniques, Graph RAG, Agentic RAG, and multimodal RAG.
 </li>
 <li>
 Vector Database Management: Architect and optimize vector stores (e.g., Qdrant, Pinecone) to handle high-dimensional embeddings and ensure low-latency similarity searches.
 </li>
 <li>
 Data Connectivity: Design, develop, and maintain secure data connectors to pull information from various external tools, SaaS platforms, and internal databases.
 </li>
 <li>
 Data Pre-processing for Gen-AI: Develop cleaning and normalization workflows specifically for unstructured data (PDFs, HTML, Markdown) to ensure optimal LLM performance.
 </li>
 <li>
 Orchestration: Use tools like LangChain, LlamaIndex, or Haystack to orchestrate complex data flows between storage, embedding models, and LLM endpoints.
 </li>
 <li>
 Monitoring &amp; Evaluation: Implement "RAG-as-a-service" monitoring to track retrieval quality (faithfulness, relevancy) and data drift in production.
 
 
 </li>
 </ul>
 
 
 Candidate Profile
 
 
 
 
 <ul>
 <li>
 Education: B.Sc. or M.Sc. in Computer Science, Data Engineering, or a related field.
 </li>
 <li>
 Experience: 5+ years in Data Engineering with a recent focus on AI/ML pipelines.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Languages: Expert proficiency in Python and SQL; knowledge of Java or Go is a plus.
 </li>
 <li>
 Data Tools: Experience with Spark, Kafka, Airflow/Prefect, and dbt.
 </li>
 <li>
 AI Frameworks: Hands-on experience with LangChain, LlamaIndex, OpenAI API, Hugging Face, MCP, A2A, and ADK.
 </li>
 <li>
 Vector DBs: Proficiency with Qdrant, Pinecone, Chroma, Weaviate, or pgvector.
 </li>
 <li>
 Cloud/DevOps: Knowledge of GCP/AWS, Docker, and Kubernetes.
 </li>
 </ul>
 <li>
 Preferred: Deep understanding of embedding models, chunking strategies, and unstructured data extraction tools (e.g., Unstructured.io, PyMuPDF).
 </li>
 </ul>
</div>

Senior AI Data Engineer, AI4ALL

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

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior DevOps Engineer
 
 
 
 Job Description
 
 
 
 SiliconExpert Technologies, Inc. is looking for Senior DevOps Engineers with strong development background, who will be responsible for enabling faster release and deployment cycles, by taking advantage of agile development methodologies, improved collaboration between business stakeholders, application development and operations teams and automation tools, they will work collaboratively with software engineering to deploy and operate our systems, automate and streamline our operations and processes, build and maintain tools for deployment, monitoring and alerting, and troubleshoot and resolve issues in our Dev/QA/Prod. environments.
 
 
 
 Job Overview
 
 
 
 
 Primary focus for the role developing and building containerization solutions, Senior DevOps Engineer installs and configures solutions, implement reusable components, translate technical requirements, and assist with all stages of test data and monitoring the container orchestration layer
 
 .
 
 
 Senior DevOps Engineer will build automated deployments, through the use of configuration management technology, helps create requirements and procedures for implementing routine maintenance, deploy new modules and upgrades and complete fixes within the production environment and troubleshooting existing information systems for errors and resolving those errors.
 
 
 Senior DevOps Engineer will build and implement infrastructure / application disaster recovery solution, through the use of infrastructure as code technology.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Take the full responsibility to write dockerfile for all apps and Transform Spring boot Java application and Nodejs/Angular/ PHP to containerized images.
 </li>
 <li>
 Using AWS Services to store and run the images with EKS orchestration layer.
 </li>
 <li>
 Plan, design, sizing, Implement and operate the Kubernetes cluster using EKS infrastructures and other integrated AWS services.
 </li>
 <li>
 Using ArgoCD and Helm for application deployments.
 </li>
 <li>
 Automate the infrastructure provisioning &amp; operations using Terraform.
 </li>
 <li>
 Automate the Configuration management using ansible.
 </li>
 <li>
 Plan and Implement DR Plan on AWS.
 </li>
 <li>
 On call duties.
 </li>
 <li>
 Troubleshooting existing information systems for errors and resolving those errors.
 </li>
 <li>
 Work closely with development &amp; QA teams to create processes and tools that provide immediate feedback on source changes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s degree in Computer Engineering / Computer Science or equivalent education in the form of work experience at similar technology positions.
 
 
 A minimum of 3 years of work experience as a Developer/Systems Administrator/DevOps, supporting development teams (sysadmins + Java/Angular software development).
 
 
 <ul>
 <li>
 Experience in containers/container orchestration platforms; Docker, Kubernetes and AWS EKS. (Minimum of 2 years of work experience)
 </li>
 <li>
 Experience in ArgoCD, Helm and EKS cluster monitoring and Auto scaling.
 </li>
 <li>
 Experienced with Terraform as IaC knowledge, integrated with AWS different services (EC2, ECR, EKS, VPC, IAM, S3, ELB).
 </li>
 <li>
 Experienced in AWS platform as DevOps (Deployment strategies, Disaster Recovery, IaC, Security and Automation).
 </li>
 <li>
 Strong Knowledge in AWS platform as Solutions Architect (High availability, elasticity, Scalability, Migration and Cost Estimated / Optimization).
 </li>
 <li>
 Good Knowledge with Ansible for configuration management integrating with AWS different services to automate different tasks.
 </li>
 <li>
 Strong Knowledge of managing CI/CD tools preferably Jenkins.
 </li>
 <li>
 Good Knowledge of monitoring and logging tools ELK, Newrelic.
 </li>
 <li>
 knowledge of Build Tools (Maven, AngularJS) and Webservers Tomcat/Apache
 
 
 </li>
 </ul>
 
 Certificates
 
 
 
 AWS DevOps Professional is advanced.
 
 
 CKAD / CKA is advanced.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior DevOps Engineer

York Towers

<div>
 York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents.
 
 Dwelleo is an AI-powered, bilingual (Arabic/English) real estate marketplace serving the Saudi market. We're building a native-quality mobile experience on Flutter, and we're looking for a Senior Flutter Developer to own it end to end.
 
 
 
 
 
 This is a single-owner role: you will be our only mobile engineer. You'll be responsible for the full lifecycle of the app &mdash; architecture, implementation, release, and maintenance &mdash; working closely with backend, design, QA, and product. We need someone senior enough to make sound architectural decisions independently, set the standard for code quality, and deliver reliably without day-to-day hand-holding, while collaborating tightly across chapters.
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Own the Dwelleo mobile app end to end: architecture, development, testing support, release management, and post-launch maintenance across iOS and Android from a single Flutter codebase.
 </li>
 <li>
 Implement full
 
 bilingual Arabic/English support
 
 with correct
 
 RTL/LTR layout handling
 
 , localization, and locale-aware formatting (dates, numbers, currency).
 </li>
 <li>
 Translate Figma designs into pixel-accurate, responsive, performant UI &mdash; including the upcoming mobile design migration.
 </li>
 <li>
 Integrate with backend services over REST APIs; collaborate with the backend chapter to shape mobile-facing API contracts.
 </li>
 <li>
 Integrate AI-driven and real-estate features (e.g. property listings, search, listing scoring, lead flows) into the mobile experience.
 </li>
 <li>
 Handle authentication, secure storage, push notifications, deep linking, and payment flows as the product requires.
 </li>
 <li>
 Establish and maintain mobile engineering standards: state management, project structure, CI/CD for mobile, code review discipline, and automated testing.
 </li>
 <li>
 Manage the full release process: build pipelines, signing, App Store and Google Play submissions, versioning, and store compliance.
 </li>
 <li>
 Monitor app performance, crashes, and stability; instrument analytics and act on the data.
 </li>
 <li>
 Ensure the app meets Saudi regulatory and data-protection requirements (PDPL and related) in how it handles user data on-device and in transit.
 </li>
 <li>
 Maintain clear technical documentation so the app remains supportable as the team grows.
 
 
 
 </li>
 </ul>
 Required qualifications:
 
 
 
 <ul>
 <li>
 5+ years of professional mobile development, with substantial
 
 Flutter/Dart
 
 experience shipping and maintaining production apps on both iOS and Android.
 </li>
 <li>
 Proven track record owning at least one app end to end &mdash; ideally as a sole or lead mobile engineer.
 </li>
 <li>
 Strong command of Flutter state management (Bloc, Riverpod, Provider, or similar) and clean, scalable architecture (e.g. layered/clean architecture).
 </li>
 <li>
 Solid experience consuming REST APIs, handling async data, caching, and offline states.
 </li>
 <li>
 Hands-on experience with
 
 RTL layouts and full app localization
 
 (Arabic experience strongly preferred).
 </li>
 <li>
 Experience with the full release pipeline: CI/CD, code signing, and App Store / Google Play publishing.
 </li>
 <li>
 Comfortable working from Figma; good eye for design fidelity and UX detail.
 </li>
 <li>
 Strong testing instincts (unit and widget tests) and a quality-first mindset.
 </li>
 <li>
 Fluent English communication; able to work autonomously and collaborate across a cross-functional team.
 
 
 
 </li>
 </ul>
 Nice to have:
 
 
 
 <ul>
 <li>
 Arabic &amp; English language proficiency.
 </li>
 <li>
 Real estate, marketplace, or fintech domain experience.
 </li>
 <li>
 Experience integrating payment gateways and AI/LLM-powered features into mobile apps.
 </li>
 <li>
 Native iOS (Swift) or Android (Kotlin) familiarity for platform-channel work.
 </li>
 <li>
 Experience setting up mobile analytics and crash reporting (Firebase, Sentry, or similar).
 
 
 </li>
 </ul>
 
 
 
</div>

Senior Flutter Developer (Mobile)

Succedo Labs

<div>
 About Succedo Labs
 
 Succedo Labs is an AI-native product studio helping startups and enterprises launch premium digital products at startup speed.
 
 
 We build:
 
 <ul>
 <li>
 AI Solutions &amp; Automation
 </li>
 <li>
 SaaS Platforms
 </li>
 <li>
 Mobile Applications
 </li>
 <li>
 Data &amp; Analytics Dashboards
 </li>
 <li>
 Custom Software Products
 </li>
 </ul>
 <li>
 
 </li>
 
 We're looking for an exceptional
 
 AI Product Engineer
 
 who can transform ideas into production-ready products using modern AI-powered development workflows.
 
 
 This is not a traditional software engineering role.
 
 
 We're looking for builders who leverage AI to move faster, think like product owners, and ship high-quality products rapidly.
 
 
 
 
 What You'll Do
 <ul>
 <li>
 Build web and mobile applications using AI-assisted development tools.
 </li>
 <li>
 Turn product requirements into working MVPs and production-ready solutions.
 </li>
 <li>
 Collaborate directly with founders, clients, and designers.
 </li>
 <li>
 Design and implement AI-powered features and workflows.
 </li>
 <li>
 Integrate APIs, databases, authentication systems, and third-party services.
 </li>
 <li>
 Continuously improve development speed, quality, and automation.
 </li>
 <li>
 Contribute to technical architecture and product decisions.
 
 </li>
 </ul>
 What We're Looking For
 
 Must Have
 <ul>
 <li>
 Strong experience building modern web applications.
 </li>
 <li>
 Experience with AI-assisted development workflows.
 </li>
 <li>
 Ability to independently build complete products from concept to deployment.
 </li>
 <li>
 Strong problem-solving and product-thinking mindset.
 </li>
 <li>
 Excellent communication skills.
 
 </li>
 </ul>
 Preferred Experience
 <ul>
 <li>
 Replit
 </li>
 <li>
 Cursor
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Claude
 </li>
 <li>
 Supabase
 </li>
 <li>
 Next.js
 </li>
 <li>
 React
 </li>
 <li>
 Vercel
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 AI Agents &amp; Automation
 
 </li>
 </ul>
 Success Metrics
 <ul>
 <li>
 Speed of product delivery.
 </li>
 <li>
 Quality of shipped solutions.
 </li>
 <li>
 Client satisfaction.
 </li>
 <li>
 Ability to turn ideas into working products quickly.
 </li>
 <li>
 Contribution to improving our AI-native development processes.
 
 </li>
 </ul>
 What We Offer
 <ul>
 <li>
 Competitive salary.
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 Flexible remote work.
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 Opportunity to work on innovative AI and digital product projects.
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 Direct collaboration with founders and clients.
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 Exposure to startups, enterprise projects, and emerging technologies.
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 Significant growth opportunities as Succedo Labs expands.
 
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 Why Join Succedo Labs?
 
 We're building a new kind of product studio&mdash;one that combines product thinking, AI, and modern development workflows to launch products faster than traditional teams.
 
 
 If you're excited about building real products, leveraging AI, and working in a fast-moving environment, we'd love to hear from you.
 
 
 📩
 
 Apply at:
 
 hello@succedo.ai
 
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 Subject:
 
 AI Product Engineer &ndash; Succedo Labs
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AI Product Engineer

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