build and infrastructure engineer Jobs in Cairo

build and infrastructure engineer

civil design coordinator

civil engineer – junior -section 2 Jobs in Cairo

civil engineer – junior -section 2

contracts engineer

engineering coordinator

junior civil engineer

UCC Holding

<div>
 
 The Senior Quantity Surveyor is responsible for managing all quantity surveying and cost management activities throughout the project lifecycle. The role oversees quantity takeoffs, cost planning, tendering, contract administration, variation management, and project cost control to ensure projects are delivered within budget while maintaining quality and contractual compliance. The Senior Quantity Surveyor provides technical leadership and guidance to junior team members and acts as a key liaison between project stakeholders, consultants, subcontractors, and suppliers.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Oversee the preparation of detailed quantity takeoffs from architectural, structural, MEP, and engineering drawings.
 </li>
 <li>
 Develop and review cost estimates, budgets, and cash flow forecasts for projects.
 </li>
 <li>
 Manage the preparation, evaluation, and submission of tender documents and commercial proposals.
 </li>
 <li>
 Analyze subcontractor and supplier quotations and lead commercial negotiations.
 </li>
 <li>
 Monitor project costs, commitments, and expenditures to ensure alignment with approved budgets.
 </li>
 <li>
 Administer contracts, including preparation and evaluation of variations, claims, extensions of time, and change orders.
 </li>
 <li>
 Identify commercial risks and opportunities and develop mitigation strategies.
 </li>
 <li>
 Lead value engineering initiatives and cost optimization exercises.
 </li>
 <li>
 Review interim payment applications, subcontractor valuations, and final account settlements.
 </li>
 <li>
 Conduct site visits and measurements to verify completed works and assess progress.
 </li>
 <li>
 Prepare and present commercial reports, cost forecasts, and management summaries to senior leadership.
 </li>
 <li>
 Ensure compliance with contractual obligations, company procedures, and industry standards.
 </li>
 <li>
 Mentor and supervise Junior Quantity Surveyors and provide technical guidance to project teams.
 </li>
 <li>
 Coordinate with clients, consultants, contractors, and internal departments on commercial and contractual matters.
 </li>
 </ul>
 
 Job Knowledge &amp; Skills
 
 <ul>
 <li>
 Advanced knowledge of quantity surveying principles, cost management, and contract administration.
 </li>
 <li>
 Strong expertise in Bill of Quantities (BOQ) preparation and standard methods of measurement.
 </li>
 <li>
 Proficiency in computer-based quantification systems; experience with CCS (Candy) is highly preferred.
 </li>
 <li>
 Advanced Microsoft Office skills, particularly Excel.
 </li>
 <li>
 Strong knowledge of AutoCAD and quantity takeoff software.
 </li>
 <li>
 Experience with ERP systems, preferably SAP.
 </li>
 <li>
 Excellent analytical, negotiation, and commercial management skills.
 </li>
 <li>
 Strong understanding of construction contracts, claims, and variation management.
 </li>
 <li>
 Ability to lead teams and manage multiple projects simultaneously.
 </li>
 </ul>
 
 Education
 
 <ul>
 <li>
 Bachelor's Degree in Civil Engineering, Construction Management
 </li>
 <li>
 Minimum 6+ years of experience in Quantity Surveying within the construction industry.
 </li>
 <li>
 Proven experience managing large-scale construction projects.
 </li>
 <li>
 GCC experience is highly preferred.
 </li>
 <li>
 Previous experience in contract administration and commercial management is required.
 </li>
 </ul>
 
 
</div>

Senior Quantity Surveyor

Click Group

Join the Network Security Experts at Click ITS!Click ITS, a leading System Integrator located in Egypt, is expanding our elite Network Security Department. We partner with industry giants including Fortinet, Palo Alto Networks, Kaspersky, CrowdStrike, Nozomi Networks, Tenable, and Thales to deliver comprehensive security solutions across various layers such as NGFW, SD-WAN, EDR, XDR, OT Security, Data Protection, MFA, and SOC.We are currently looking for passionate and driven professionals to join our dynamic team in the following roles:1. Junior Network Security EngineerAre you ready to accelerate your career in cybersecurity? We are looking for a hands-on Junior Network Security Engineer with a strong foundation in network defence and a drive to learn.Experience Required: 3 YearsKey Responsibilities:<ul><li>Implement, configure, and manage security solutions across different layers (NGFW, SD-WAN, EDR/XDR).</li><li>Assist in the deployment and integration of top-tier vendor solutions including Fortinet, Palo Alto, and Kaspersky.</li><li>Monitor network traffic for security events and assist the SOC team in incident response.</li><li>Troubleshoot and resolve network security issues in enterprise environments.</li><li>Maintain and update security documentation and standard operating procedures.</li></ul>Qualifications:<ul><li>Bachelor’s degree in computer engineering, Information Technology, or a related field.</li><li>Approximately 3 years of practical experience in network security or systems integration.</li><li>Familiarity with NGFW, Endpoint Security, and basic Data Protection concepts.</li><li>Relevant vendor certifications (e.g., NSE 4, PCNSA) are a strong plus.</li><li>Excellent problem-solving skills and a proactive attitude.</li></ul>Why Join Click ITS?Work with the Best: Hands-on experience with cutting-edge technologies from top global vendors.Career Growth: Continuous learning opportunities, training, and certification support.Impactful Work: Protect critical infrastructures and enterprise networks against modern threats.Dynamic Culture: Join a collaborative, innovative, and fast-paced team environment in Egypt.

Junior Network Security Engineer

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
 
 Civil Interface Engineer
 
 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>
 Prepare civil -related Interface documents with coordination with related disciplines within Siemens and partners. Then coordinate with Employer representative to reach approvals.
 </li>
 <li>
 Review design drawings received and facilitate approval cycle via Aconex.
 </li>
 <li>
 Review design drawings verses standards and contract requirements and interface documents.
 </li>
 <li>
 Work on developing cable routes with CAD team as per requirements and review CSD drawings.
 </li>
 <li>
 Review and reply to RFI&rsquo;s from the employer or the partner.
 </li>
 <li>
 Coordinate all civil-related interfaces between Siemens System scope and partners and employer.
 </li>
 <li>
 Interact with the Siemens project team, the Siemens Engineering lots with relevant departments inside the Siemens organization (such as Commercial, legal, and Project Management), the consortium, civil companies, architect&rsquo;s offices as well as public jurisdictions, citizen groups, and consultants, whenever necessary.
 </li>
 <li>
 Ensure that the E&amp;M interface with the different civil companies is harmonized with each other to avoid individual solutions with different interface partners.
 </li>
 <li>
 Contribute to power station/passenger station/wayside/depot and system design-related field design changes, non-conformance reports, requests for information, and documentation.
 </li>
 <li>
 Contribute to subjects such as negotiating contract change orders.
 
 
 </li>
 </ul>
 
 What do I need to qualify for this job?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Civil / Architectural Engineering or Construction Management.
 </li>
 <li>
 A minimum of 5 years of experience in Civil Engineering, additionally rail transportation experience in the design and construction of major transit improvement projects (passenger stations/power stations/wayside and depots) is highly desirable.
 </li>
 <li>
 Experience in interface management as well as tender and contract analysis.
 </li>
 <li>
 Track construction/system knowledge railway is desirable.
 </li>
 <li>
 Technical assessment competence for planning and system design of structural and civil engineering works for railway infrastructure (e.g. engineering structures and associated railway installations).
 </li>
 <li>
 Fluency in both written and spoken English.
 
 
 </li>
 </ul>
 
 What else do I need to know?
 
 
 
 As a world leader in developing and producing the most advanced technologies, we improve lives and further human achievements worldwide, while also protecting the climate - all thanks to our employees. Working with us, you have the foundation to develop personally and professionally. We give you the chance to do something significant, that benefits society and human progress. We give you the chance to create a difference.
 
 
 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>

Civil Interface Engineer @Siemens Mobility Egypt

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 We are looking for a skilled Senior Java Developer to join our team and take ownership of designing, developing, and maintaining robust, scalable Java-based applications. This role requires deep expertise in Java and its related frameworks, strong problem-solving abilities, and a solid understanding of modern development practices.
 
 
 As a Senior Developer, you will lead project initiatives or development teams, collaborate closely with cross-functional groups including QA, DevOps, and UI/UX designers, and provide technical guidance to junior developers. You&rsquo;ll play a key role in ensuring our applications meet high standards of performance, scalability, and alignment with business goals.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, debug, and deploy Java-based applications across the full SDLC.
 </li>
 <li>
 Collaborate with cross-functional teams to develop robust, maintainable solutions.
 </li>
 <li>
 Contribute to technical design and architectural decisions using modern best practices.
 </li>
 <li>
 Maintain high code quality through unit testing and clean code principles.
 </li>
 <li>
 Support configuration, build automation, deployment, and continuous integration.
 </li>
 <li>
 Mentor junior developers and actively contribute to a culture of technical excellence.
 </li>
 <li>
 Stay up to date with industry trends and contribute ideas on integrating innovations such as Generative AI where applicable.
 </li>
 <li>
 Design and integrate agentic AI capabilities into applications, planning, tool usage, workflow automation, and intelligent decision-making.
 </li>
 <li>
 Collaborate with AI engineers to build, orchestrate, and optimize agent-based systems using LLMs, vector search and RAG workflows.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Programming &amp; Frameworks:
 
 
 </li>
 </ul>
 Java, Spring Boot, Angular, Node.js, OOP, Design Patterns
 
 
 <ul>
 <li>
 Web Technologies:
 
 
 </li>
 </ul>
 JavaScript (Basics, AJAX), REST &amp; SOAP Web Services
 
 
 <ul>
 <li>
 Database &amp; ORM:
 
 
 </li>
 </ul>
 Native SQL, Oracle, MySQL, Database Design, ERD, JPA, Hibernate
 
 
 <ul>
 <li>
 Search &amp; Messaging:
 
 
 </li>
 </ul>
 Apache Solr, Elasticsearch, Kafka
 
 
 <ul>
 <li>
 Build &amp; Deployment:
 
 
 </li>
 </ul>
 Maven, CI/CD, Deployment Automation
 
 
 <ul>
 <li>
 Testing &amp; Quality:
 
 
 </li>
 </ul>
 Unit Testing (Junit, TestNG), TDD, Clean Code Practices
 
 
 <ul>
 <li>
 Application Servers:
 
 
 </li>
 </ul>
 Apache Tomcat, WebLogic, JBoss, WebSphere, GlassFish, OC4J
 
 
 <ul>
 <li>
 Tools &amp; Configuration:
 
 
 </li>
 </ul>
 Git, Configuration Management, JIRA, XML (XSD, DTD)
 
 
 <ul>
 <li>
 Security:
 
 
 </li>
 </ul>
 Familiarity with OWASP secure coding techniques and best practices to mitigate vulnerabilities
 
 
 <ul>
 <li>
 Generative AI &amp; Intelligent Automation:
 </li>
 <li>
 Hands-on experience or strong familiarity with building AI-enhanced features using LangChain, LangGraph, and similar orchestration frameworks.
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG) pipelines and integrating them into enterprise applications.
 </li>
 <li>
 Understanding of vector databases (e.g., Pinecone, Milvus, Elasticsearch vectors) and practical usage of embeddings for semantic search or contextual retrieval.
 </li>
 <li>
 Ability to design prompts and optimize interactions with Large Language Models (LLMs) to improve reasoning, accuracy, and performance.
 </li>
 <li>
 Understanding multi-agent workflows, planning, and tool-use capabilities powered by modern LLMs.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Big Data &amp; NoSQL: Hadoop, Hive, Sqoop, Pentaho, MongoDB, HBase
 </li>
 <li>
 Containers &amp; DevOps: Docker, Kubernetes
 </li>
 <li>
 Other: Security Best Practices, AOP (Aspect-Oriented Programming)
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

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

Finaira

<div>
 
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineers, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives. Focus: End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship.
 
 
 
 
 
 
 
 
 The difference you will make
 
 <ul>
 <li>
 Provide technical leadership, guidance, and mentorship to a team of AI Engineers
 </li>
 <li>
 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
 </li>
 <li>
 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
 </li>
 <li>
 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
 <li>
 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
 <li>
 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
 <li>
 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
 <li>
 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
 <li>
 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 </li>
 </ul>
 
 
 
 
 What you will bring to the role:
 
 
 Education: Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.
 
 
 
 
 
 Experience: 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to end.
 
 
 Technical Skills:
 
 <ul>
 <li>
 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
 </li>
 <li>
 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.
 </li>
 <li>
 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).
 </li>
 <li>
 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures. o Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.
 </li>
 <li>
 Excellent understanding of data engineering principles, data governance, and database technologies.
 </li>
 <li>
 Ability to evaluate and make sound technical decisions on complex trade-offs.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset.
 </li>
 </ul>
 
 
 
 
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
 
</div>

Principal AI 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

Explore 70+ Junior civil engineer in Cairo this July. Find roles across top companies and apply now to boost your career.