ai automation engineer

ai product engineer

ai software engineer

analytics engineer ii

quality assurance engineer

Nawy

<div>
 Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
 
 
 <ul>
 <li>
 Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions
 </li>
 <li>
 Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure
 </li>
 <li>
 Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs
 </li>
 <li>
 Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data
 </li>
 <li>
 Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity
 </li>
 <li>
 Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities
 </li>
 <li>
 Perform data modeling and schema design to support analytical and reporting requirements
 </li>
 <li>
 Design and build data marts and business layers to facilitate efficient data access and analysis
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work
 </li>
 <li>
 Proven experience as a Data engineer or similar role, with at least 1 years of experience
 </li>
 <li>
 Advanced SQL knowledge/experience - complex queries and query optimization
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Experienced in the development of data warehouses and proficient in data modeling
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
 </li>
 <li>
 Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 The ability and willingness to learn new technologies on the job
 </li>
 <li>
 Self driven, highly motivated, fast learner, ambitious and creative
 </li>
 </ul>
</div>

Data Engineer

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

System Design Engineer - AI & Automation, LIGHT

Confidential

<div>
 
 
 
 Role Objectives
 
 
 
 
 As a Software Mobile Engineer III specialized in React Native, you'll collaborate with cross functional teams to define, design, and deliver new features, integrating external data sources and APIs. You'll contribute to feature development aligned with the product roadmap, demonstrate leadership in project architecture and code quality, and adhere to coding best practices and agile methodologies. Your role entails implementing user stories with modern design and coding standards.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features.
 </li>
 <li>
 Work with outside data sources and API.
 </li>
 <li>
 Help in developing new features following our product roadmap.
 </li>
 <li>
 Exercise leadership in project architecture &amp; code quality.
 </li>
 <li>
 Follow coding best-practices.
 </li>
 <li>
 Follow agile/continuous integration engineering best practices.
 </li>
 <li>
 Implement user stories using modern design and coding best practices.
 </li>
 </ul>
 
 
 
 
 
 
 REQUIRED EDUCATION, KNOWLEDGE, AND SKILLS
 
 
 
 
 
 
 
 Must have a Bachelor's degree, preferably in Computer Science or Engineering.
 
 
 3+ years experience developing react native mobile apps.
 
 
 Experience with JavaScript and TypeScript.
 
 
 Good experience with Redux.
 
 
 Experience with iOS/Android native development is a plus.
 
 
 Experience with crash reporting and application logging solutions.
 
 
 Experience integrating with third-party libraries and APIs.
 
 
 Shipped production quality Android applications.
 
 
 Solid understanding of the full mobile development lifecycle.
 
 
 Understanding of analytics.
 
 
 Solid understanding of Gitflow.
 
 
 Experience with GraphQL is a plus.
 
 
 Experience with e-commerce/fintech/supply chain business is a plus.
 
</div>

Software Mobile Engineer III - RN

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
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 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
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 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
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 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
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 Strong proficiency in Terraform.
 </li>
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 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
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 Experience managing PostgreSQL and ClickHouse databases.
 </li>
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 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
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 Familiarity with DevSecOps tools and practices.
 </li>
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 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
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 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

Future Group Language Solutions

<div>
 
 About The Role
 
 
 
 We are looking for an
 
 Applied AI Engineer
 
 to design, build, and deploy intelligent AI solutions that solve real business challenges. In this role, you'll work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, AI agents, and knowledge graphs to create scalable, production-ready AI applications.
 
 
 This is an
 
 AI-first engineering role
 
 , where leveraging AI development tools such as ChatGPT, Cursor, GitHub Copilot, Claude, or Windsurf is an essential part of the development workflow.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using LLMs.
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 <li>
 Build and optimize RAG and GraphRAG pipelines.
 </li>
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 Develop AI agents and multi-agent workflows for business automation.
 </li>
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 Design and manage knowledge graphs using GraphDB technologies.
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 <li>
 Integrate enterprise data sources with AI applications.
 </li>
 <li>
 Engineer prompts, workflows, and agent orchestration for reliable AI systems.
 </li>
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 Evaluate and optimize AI models for quality, latency, scalability, and cost.
 </li>
 <li>
 Build production-ready APIs and AI services.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver AI-driven products.
 </li>
 <li>
 Stay up to date with the latest AI models, frameworks, and best practices.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, AI, or a related field.
 </li>
 <li>
 3+ years of experience developing AI-powered or data-intensive applications.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar).
 </li>
 <li>
 Experience implementing Retrieval-Augmented Generation (RAG).
 </li>
 <li>
 Experience with Graph Databases such as Neo4j, Amazon Neptune, Memgraph, or GraphDB.
 </li>
 <li>
 Familiarity with vector databases such as Pinecone, Qdrant, Weaviate, Milvus, or pgvector.
 </li>
 <li>
 Experience integrating AI models through APIs and SDKs.
 </li>
 <li>
 Solid understanding of REST APIs, Git, Docker, and cloud platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with GraphRAG architectures.
 </li>
 <li>
 Knowledge of AI agent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK.
 </li>
 <li>
 Experience with Model Context Protocol (MCP).
 </li>
 <li>
 Prompt engineering and AI evaluation frameworks.
 </li>
 <li>
 Knowledge of semantic search and hybrid retrieval.
 </li>
 <li>
 Experience with FastAPI, Django, or Flask.
 </li>
 <li>
 Familiarity with Kubernetes, CI/CD pipelines, and microservices.
 </li>
 <li>
 Experience building knowledge graphs and ontology design.
 
 
 
 </li>
 </ul>
 What We Offer
 
 
 <ul>
 <li>
 Opportunity to build cutting-edge AI products.
 </li>
 <li>
 Collaborative and innovative engineering environment.
 </li>
 <li>
 Exposure to the latest AI technologies and frameworks.
 </li>
 <li>
 Professional growth and continuous learning opportunities.
 </li>
 <li>
 Competitive salary and benefits package.
 
 
 
 </li>
 </ul>
 Join Our Team
 
 
 If you're passionate about building practical AI applications, enjoy working with the latest AI technologies, and thrive in an AI-first development environment, we'd love to hear from you!
</div>

Applied AI Engineer (AI-First / Vibe Coding)

Siemens

<div>
 Siemens Mobility (SMO) is the world&rsquo;s leading provider of mobility solutions that enable the efficient, safe, and environmentally friendly transport of people and goods&mdash;helping to improve the quality of everyday life for millions worldwide.
 
 
 Motivated by innovation, we develop intelligent solutions for the growing digitalization of the transport sector. Our offerings include rail vehicles, rail automation, road traffic management systems, rail electrification, and services.
 
 
 In Egypt, Siemens Mobility is delivering one of the country&rsquo;s first high-speed rail system. This landmark project, spanning approximately 2,000 kilometers, will connect 60 cities across Egypt, transforming transportation for both passengers and goods. Participating in this project could be a pivotal milestone in your career and a significant historical achievement for the region.
 
 
 Today, we are recruiting for a
 
 Warehouse Manager
 
 to join our team in Egypt. This is an excellent career opportunity for professionals looking to join a truly international team in one of the biggest projects of Siemens Mobility.
 
 
 
 What Are My Responsibilities?
 
 
 
 <ul>
 <li>
 Define and implement the overall warehouse and storage concept to ensure alignment with operational and maintenance requirements.
 </li>
 <li>
 Manage warehouse and storage operations across the designated depot and warehouse locations supporting the three High-Speed Rail lines.
 </li>
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 Lead and supervise Store Supervisors, Storekeepers, warehouse staff, and subcontractors involved in warehouse and logistics activities.
 </li>
 <li>
 Develop and implement warehousing procedures, material handling rules, and inventory control processes.
 </li>
 <li>
 Coordinate day-to-day warehouse operations, ensuring efficient material flow and stock availability.
 </li>
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 Support the establishment and maintenance of adequate storage facilities and warehouse infrastructure.
 </li>
 <li>
 Ensure proper receipt, storage, issuance, transfer, and return of materials, maintaining complete traceability and accurate documentation.
 </li>
 <li>
 Maintain transparency and accuracy of inventory records, stock movements, and material transactions.
 </li>
 <li>
 Monitor consumables and spare parts usage rates and ensure timely replenishment before critical stock levels are reached.
 </li>
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 Utilize and maintain warehouse data within CMMS, SAP, or other ERP systems, ensuring data accuracy and reliability.
 </li>
 <li>
 Ensure correct material identification, labeling, marking, and organized storage arrangements.
 </li>
 <li>
 Coordinate inbound and outbound material movements with maintenance, procurement, logistics teams, subcontractors, and other project stakeholders, including inter-site transfers.
 </li>
 <li>
 Monitor and supervise stock counts, inventory audits, and stock reporting activities.
 </li>
 <li>
 Support the control and maintenance of warehouse tools, equipment, and storage assets.
 </li>
 <li>
 Ensure compliance with applicable safety, environmental, and quality requirements within warehouse operations.
 </li>
 <li>
 Support handling and disposal of scrap, waste, and non-conforming materials in accordance with approved procedures.
 </li>
 <li>
 Contribute to budget control, stock optimization, and resource management within the assigned function.
 
 
 </li>
 </ul>
 
 What Do I Need to Qualify for This Job?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Logistics, Supply Chain Management, or a related discipline.
 </li>
 <li>
 Minimum 3&ndash;5 years of experience in warehouse operations, logistics, or material management within project-based environments.
 </li>
 <li>
 Experience in warehouse coordination, inventory control, and material traceability.
 </li>
 <li>
 Exposure to import/export operations is considered an advantage.
 </li>
 <li>
 Strong command of spoken and written English.
 </li>
 <li>
 Solid computer literacy, including experience with CMMS, SAP, ERP systems, and warehouse management software.
 </li>
 <li>
 Good understanding of warehouse tools, equipment, and material handling practices.
 </li>
 <li>
 Knowledge of inventory management, stock control, and quality assurance practices.
 </li>
 <li>
 Strong leadership and coordination skills with the ability to manage warehouse personnel effectively.
 </li>
 <li>
 Ability to work in multicultural and cross-functional project environments.
 </li>
 <li>
 Good physical condition and compliance with Fitness Class 2 requirements.
 
 
 </li>
 </ul>
 
 What Else do I need to know?
 
 
 
 At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds
 
 
 Diversity at Siemens is our source of creativity and innovation. Having different types of talent and experiences makes us more ambitious and better prepared to respond successfully to the demands of the Society. Therefore, we value the candidates that reflect the Diversity that we enjoy in our Company. Please find more information at www.siemens.com
 
 
 We are looking forward to receiving your online application.
 
 
 Please note: Only complete applications can be considered in the selection process.
</div>

Warehouse Manager @Siemens Mobility Egypt

<div>
 <ul>
 <li>
 Develop and qualify wiping/lighting functions using Model Based Systems Engineering approach
 </li>
 <li>
 Define lighting functions according to customer needs and develop simulation models using MATLAB/Simulink/Stateflow
 </li>
 <li>
 Define use cases and simulate the functions model according to them for up front verification.
 </li>
 <li>
 Simulate the lighting function in the complete environment at vehicle level
 </li>
 <li>
 Realize fast prototyping applications and Demo Cars for upfront verification
 </li>
 <li>
 Support RFQ and establish compliance and choice matrix.
 </li>
 <li>
 Contribute to innovative Model Based Systems Engineering projects
 </li>
 <li>
 Redesign specification models in compliance with VLS standards.
 </li>
 <li>
 Ensure technology transfer from P3 to P2&amp;P1 projects in compliance with System and Software Metier constraints.
 </li>
 <li>
 Inspires and encourages colleagues to apply intelligently customized best practices.
 </li>
 <li>
 Contribute to Develop, qualify and maintain VWS/ VLS standard Library
 </li>
 <li>
 Identify system functions diversity, dependencies and constraints in order to define reusable subsystems and blocks.
 </li>
 <li>
 Define specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Support Model Based Design Implementation Engineer during standardization phase.
 </li>
 <li>
 Ensure the full coverage of the specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Ensure the coverage level of the Implementation Model aligned with Model Development Methodology &amp; Strategy
 </li>
 <li>
 Code Generation and Ensure Quality of Deliverables
 </li>
 <li>
 Support Code generation from Implementation Model using Embedded Coder.
 </li>
 <li>
 Ensure the Compliance with Model Advisor Rules
 </li>
 <li>
 Ensure Compliance of source code with Valeo Coding Rules and MISRA for auto generated Code
 </li>
 <li>
 Contribute to build and deploy VWS/VLS Model Based Systems Engineering Design standards
 </li>
 <li>
 Develop simulation methodologies and tools.
 </li>
 <li>
 Perform model Peer reviews across VWS/VLS projects to ensure project consistency
 </li>
 <li>
 Perform technical reviews on new functions.
 </li>
 <li>
 Perform technical reviews on innovative functions before implementation during transition phase (P3 to P1 projects).
 </li>
 <li>
 Education / Training
 
 
 </li>
 </ul>
 
 System/Electronics/Software/MBD/MBSE Engineer
 
 
 
 
 
 Professional Experience
 
 
 
 
 
 System experience for a minimum of 2~3 years in SW/System domain in Automotive industry: Model Based Systems Engineering (MBSE) or Model Based Design (MBD) approach.
 
 
 Fast prototyping systems
 
 
 Development in embedded systems
 
 
 Methodology development knowledge (V cycle)
 
 
 Knowledge of automotive communication bus (Ethernet, CAN, LIN), Diagnostic.
 
 
 
 
 
 Languages
 
 
 
 
 
 The English language is mandatory.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 Knowledge About The Following Tools Is a Must
 
 
 
 <ul>
 <li>
 MATLAB/Simulink/Stateflow
 
 
 </li>
 </ul>
 
 Knowledge About The Following Tools/Concepts Is a Plus
 
 
 
 <ul>
 <li>
 Control Law Theory
 </li>
 <li>
 DOORS/CodeBeamer
 </li>
 <li>
 dSPACE MicroAutoBox, CATIAMagic, SCANeR,
 </li>
 <li>
 Automotive communication buses: Ethernet /CAN / LIN network and associated tools (CANoe, CANdela, &hellip;)
 </li>
 </ul>
 <ul>
 <li>
 Ensure the coverage level of the tests: MIL on Implementation Model (Back to Back), SIL, PIL
 </li>
 <li>
 Support SW Integrator for the Integration phase of the functions developed in Model
 </li>
 </ul>
</div>

System Design Engineer - Model & simulation, LIGHT

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