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account manager

ai developer

ai engineer, light

brand manager

ai product engineer

FlairsTech

<div><div><div><div><p>Requirements and responsibilities</p><div><h1 class="jobSectionHeader"><b><br>
</b></h1><h2 class="jobSectionHeader"><b>
AI Product Engineer</b></h2><p>
We are looking for an AI Product Engineer to join our team.</p><p>
Our POS is a leading provider of point of sale and integrated business management solutions built for hospitality and food and beverage businesses. With more than 30 years of industry experience, H&amp;L delivers flexible POS, back of house, inventory, workforce management and reporting systems that help hotels, pubs, restaurants, bars, clubs, caf&eacute;s, liquor retailers and event venues operate efficiently and profitably.</p><p>
Our platform connects front of house sales with advanced stock control and data management, supports integrations with online ordering, table service and reservations platforms, provides advanced reporting, and integrates with more than 150 hospitality technology partners. Our customer centric approach and deep sector expertise help operators deliver exceptional guest experiences while maintaining visibility, control and sustainable growth across their business.</p><h3 class="jobSectionHeader"><b>
About the role</b></h3><p>
The AI Product Engineer is an AI first builder within our AI Product Engineering capability and AI Pods. This role is responsible for turning customer and business problems into working product solutions by using AI as the default execution medium across design support, implementation, testing, documentation, release preparation and analysis.</p><p>
This is not a traditional software development role built around rigid handoffs, story point rituals, or narrow ticket execution. The AI Product Engineer moves from problem understanding to working software quickly, while maintaining strong engineering judgment, product awareness, and quality standards.</p><p>
The role is central to our move toward an agentic product and development lifecycle. It requires end to end ownership across frontend, backend, data, testing, deployment and production reliability. It also requires clear accountability for the areas that must remain human led, including customer problem framing, product judgment, architecture, security, trade off decisions, quality control for edge cases, and release readiness.</p><h3 class="jobSectionHeader"><b>
What you will do</b></h3><h4 class="jobSectionHeader"><b>
AI first product building</b></h4><ul><li>
Build working product solutions using AI as the default approach across coding, testing, debugging, documentation and technical research</li><li>
Rapidly prototype, iterate and refine solutions to validate ideas and accelerate delivery</li><li>
Use AI agents and AI assisted workflows to generate designs, implementations, tests and supporting documentation</li><li>
Contribute to our move toward an agentic product and software delivery model</li></ul><h4 class="jobSectionHeader"><b>
Problem analysis and solution design</b></h4><ul><li>
Analyse customer and business problems deeply before execution</li><li>
Break ambiguous problems into solvable components and evaluate multiple solution paths</li><li>
Make informed trade-offs between speed, quality, maintainability, security and customer value</li><li>
Apply strong engineering and product judgment to architecture, design and implementation decisions</li></ul><h4 class="jobSectionHeader"><b>
End to end engineering delivery</b></h4><ul><li>
Build modern, scalable frontend applications using React/Angular and TypeScript</li><li>
Design and implement robust backend services using Node.js</li><li>
Develop and maintain clean, secure and well-structured RESTful APIs</li><li>
Design sound data models and work effectively with relational and non-relational databases</li><li>
Support cloud native services in AWS environments</li><li>
Work with Docker, CI/CD pipelines and automated deployment practices</li><li>
Ensure strong automated test coverage across unit, integration and end to end layers</li></ul><h4 class="jobSectionHeader"><b>
Product and customer value</b></h4><ul><li>
Partner with Product, Design, Support and customer facing teams to ensure solutions solve real customer problems</li><li>
Participate in customer demos and explain how solutions work and why key design decisions were made</li><li>
Incorporate customer and operational feedback into fast iteration cycles</li><li>
Help ensure shipped capabilities drive measurable adoption, usage and business impact</li></ul><h4 class="jobSectionHeader"><b>
Quality, governance and reliability</b></h4><ul><li>
Evaluate and improve AI generated outputs for correctness, security, maintainability and fitness for purpose</li><li>
Work within approved AI engineering patterns, tooling standards, review practices and security guardrails</li><li>
Ensure solutions meet both functional and non-functional expectations</li><li>
Support reliable operation in production and continuously improve performance, resilience and maintainability</li><li>
Contribute to engineering review standards for AI generated code, tests and documentation</li></ul><h4 class="jobSectionHeader"><b>
Platform evolution</b></h4><ul><li>
Develop new product capabilities</li><li>
Integrate customer driven project work into the core platform where appropriate</li><li>
Remove legacy layers and consolidate functionality into a scalable SaaS architecture</li><li>
Refactor incrementally and safely within complex and evolving codebases</li></ul><h3 class="jobSectionHeader"><b>
What this role is not</b></h3><ul><li>
Not a traditional software developer role focused only on ticket execution</li><li>
Not limited to coding work handed off without context or ownership</li><li>
Not bound by rigid SDLC stages that separate thinking from building</li><li>
Not an AI experimentation role without accountability for quality, adoption and outcomes</li></ul><h3 class="jobSectionHeader"><b>
What success looks like</b></h3><p>
Success in this role will be measured through:</p><ul><li>
Reduced cycle time from problem definition to working solution</li><li>
High quality and reliable shipped outcomes</li><li>
Strong adoption and usage of delivered capabilities</li><li>
Improved engineering leverage and throughput</li><li>
Contribution to customer and commercial outcomes</li><li>
Effective use of AI without compromising quality, security or judgment</li></ul><h3 class="jobSectionHeader"><b>
Requirements</b></h3><h4 class="jobSectionHeader"><b>
Frontend</b></h4><ul><li>
Deep experience with React, Angular and TypeScript in production grade applications</li><li>
Strong proficiency in modern JavaScript, HTML5 and CSS3</li><li>
Experience designing scalable and maintainable frontend architectures</li><li>
Experience integrating RESTful APIs</li></ul><h4 class="jobSectionHeader"><b>
Backend</b></h4><ul><li>
Extensive experience designing and implementing backend systems using Node.js</li><li>
Strong experience building RESTful APIs</li><li>
Solid understanding of relational databases, data modelling and query optimisation</li><li>
Experience with asynchronous processing and system integration</li></ul><h4 class="jobSectionHeader"><b>
Core capabilities</b></h4><ul><li>
Strong ability to build working software using AI tools and AI assisted engineering workflows</li><li>
Experience rapidly prototyping and iterating on product ideas</li><li>
Understanding of AI system behaviour, limitations and failure modes</li><li>
Ability to reason across systems end to end</li><li>
Comfort moving independently from problem statement to implementation</li><li>
Ability to evaluate and improve AI generated outputs</li><li>
Strong debugging and problem-solving capability</li><li>
Strong understanding of software quality, testing and maintainability</li></ul><h4 class="jobSectionHeader"><b>
Testing and quality</b></h4><ul><li>
Experience writing automated unit and integration tests</li><li>
Familiarity with end-to-end testing frameworks such as Cypress, Jest, TestCafe or similar</li><li>
Strong understanding of test strategy and testable architecture</li><li>
Experience working with CI/CD pipelines and automated test execution</li></ul><h4 class="jobSectionHeader"><b>
Cloud and operations</b></h4><ul><li>
Experience working in AWS hosted SaaS environments</li><li>
Experience with Docker and containerised deployments</li><li>
Experience troubleshooting production systems</li></ul><h4 class="jobSectionHeader"><b>
General engineering</b></h4><ul><li>
Strong architectural thinking across the full stack</li><li>
Experience working in complex and evolving codebases</li><li>
Proven ability to refactor legacy systems incrementally and safely</li><li>
Strong debugging and performance optimisation skills</li><li>
Experience mentoring engineers or leading technical initiatives</li></ul><h3 class="jobSectionHeader"><b>
Nice to have</b></h3><ul><li>
Experience with event driven systems such as Kafka</li><li>
Familiarity with monitoring and observability tooling</li><li>
Experience integrating AI APIs into business workflows</li><li>
Knowledge of DevOps best practices and infrastructure automation</li><li>
Experience in hospitality, retail, POS, or other multi-site operational SaaS environments</li></ul></div></div></div></div></div><p></p>

AI Product Engineer

ITGoals

<p><b>Company Overview</b></p><p>ITGoals is a dynamic and innovative company committed to driving growth and delivering exceptional digital solutions. We foster a collaborative and inclusive work environment where creativity and technical excellence thrive&mdash;working from Cairo with international collaboration.</p><p><b>Job Description</b></p><p>As an AI Engineer at ITGoals, you will help design, develop, and deploy production-grade AI systems that bridge cutting-edge research and real-world product delivery. You&rsquo;ll work across the full lifecycle, from experimentation and evaluation to scalable deployment, collaborating closely with product, engineering, and data teams to deliver reliable, responsible, and high-performing AI capabilities.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement machine learning and deep learning models aligned with product and business goals.</li><li>Develop and optimize LLM-based systems (e.g., fine-tuning, prompt engineering, RAG), generative AI solutions, and/or predictive models.</li><li>Build scalable AI pipelines from experimentation to production, including training, evaluation, deployment, and monitoring (MLOps).</li><li>Collaborate with product, engineering, and data stakeholders to define requirements, success metrics, and delivery plans for AI features.</li><li>Ensure model performance, robustness, explainability, and ethical compliance across the development lifecycle.</li><li>Continuously evaluate emerging AI research and tools, proposing pragmatic integrations that improve product outcomes.</li><li>Contribute to operational excellence: reproducibility, documentation, testing, and incident response for AI services in live environments.</li></ul><p><b>Required Skills</b></p><ul><li>Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, and/or JAX).</li><li>Hands-on experience with large language models, including fine-tuning, prompt engineering, and/or retrieval-augmented generation (RAG).</li><li>Solid understanding of statistics, optimization, and model evaluation methodologies (metrics, validation strategies, error analysis).</li><li>Experience deploying AI systems on cloud platforms (AWS, GCP, and/or Azure).</li><li>Knowledge of containerization and orchestration (Docker, Kubernetes).</li><li>Familiarity with CI/CD practices and scalable inference infrastructure (batch/real-time serving, monitoring, versioning).</li><li>Strong problem-solving skills, ownership mindset, and clear technical communication in a collaborative environment.</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with multimodal AI systems (text + image/audio/video).</li><li>Background in reinforcement learning and/or advanced NLP techniques.</li><li>Published research, technical writing, or contributions to open-source AI projects.</li><li>Experience working in high-growth startup environments and shipping quickly with high quality.</li></ul><p><b>What Success Looks Like</b></p><ul><li>You deliver AI features that are measurable, reliable, and aligned with product goals&mdash;moving from prototype to production with strong engineering discipline.</li><li>You improve model quality and efficiency through thoughtful experimentation, optimization, and rigorous evaluation.</li><li>You help establish scalable MLOps practices (reproducibility, monitoring, deployment automation) that make AI delivery predictable.</li><li>You communicate trade-offs clearly and collaborate effectively across teams to unblock progress and maintain high standards.</li><li>You uphold responsible AI principles, ensuring solutions are robust, explainable where needed, and ethically developed.</li></ul><p><b>Additional Information</b></p><p>We&rsquo;re looking for a technically rigorous AI Engineer who enjoys balancing experimentation with production constraints and takes pride in building systems that perform well in real-world conditions. If you&rsquo;re excited about deploying modern AI (including LLM-powered systems) in live products and working with a collaborative, international team, you&rsquo;ll feel at home at ITGoals.</p><p>Job Type: Full-time</p>

AI Engineer - Senior

TechLabs London

<div>
 <strong>
  About TechLabs London:
  <br/>
  <br/>
 </strong>
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 <strong>
  AI and intelligent automation
 </strong>
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 <strong>
  AI Engineer
 </strong>
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 <br/>
 <br/>
 <strong>
  Job Purpose:
 </strong>
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
  </li>
  <li>
   Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
  </li>
  <li>
   Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
  </li>
  <li>
   Develop time-series models that analyze behavior and generate predictive.
  </li>
  <li>
   Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
  </li>
  <li>
   Integrate models into production by working with our developers to deploy solutions into our products and beyond.
  </li>
  <li>
   Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
  </li>
  <li>
   Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
  </li>
  <li>
   Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
  </li>
  <li>
   Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
  </li>
  <li>
   Conduct rigorous A/B testing and model evaluation.
  </li>
  <li>
   Support the integration of models into production systems using APIs and microservices.
  </li>
  <li>
   Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills and Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
  </li>
  <li>
   Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
  </li>
  <li>
   Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
  </li>
  <li>
   Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
  </li>
  <li>
   Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
  </li>
  <li>
   Containerization and orchestration: Docker, Docker Compose.
  </li>
  <li>
   Solid understanding of data modelling, feature engineering, and data warehousing concepts.
  </li>
  <li>
   Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
  </li>
  <li>
   Proficiency in version control, CI/CD, and model deployment practices.
  </li>
  <li>
   Experience integrating AI models into web or mobile applications is highly valued.
  </li>
  <li>
   Experience with MLOps tools like MLflow, Airflow, DVC.
  </li>
  <li>
   Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mindset &amp; Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
  </li>
  <li>
   Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
  </li>
  <li>
   Communicative and collaborative &mdash; comfortable working across teams and disciplines.
  </li>
  <li>
   Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
  </li>
  <li>
   Knowledge of data governance, bias mitigation, and explainable AI techniques.
  </li>
 </ul>
</div>


AI& Data Engineer (Hybrid)

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The AI Transformation Manager is responsible for leading the organization&rsquo;s transition into an AI-first enterprise. This role involves identifying high-value AI use cases, managing the implementation of agentic workflows and LLM-based systems, and driving the cultural change necessary for employees to work alongside AI. You will not only manage technology but also lead the "Workforce Transformation," ensuring that AI investments result in measurable ROI and enhanced human potential.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Strategic Planning &amp; Roadmap Development
  </strong>
 </p>
 <ul>
  <li>
   Develop and maintain the Enterprise AI Roadmap, prioritizing use cases based on feasibility, cost, and business impact.
  </li>
  <li>
   Define KPIs for AI success (e.g., time-to-market reduction, cost-per-task optimization, or revenue uplift).
  </li>
  <li>
   Partner with senior leadership to align AI initiatives with the company&rsquo;s 3&ndash;5 year growth goals.
  </li>
 </ul>
 <p>
  <strong>
   2. AI Implementation &amp; Orchestration
  </strong>
 </p>
 <ul>
  <li>
   Lead the deployment of
   <strong>
    Agentic AI
   </strong>
   (autonomous agents) and
   <strong>
    RAG-based
   </strong>
   (Retrieval-Augmented Generation) knowledge systems across departments like HR, Finance, and Customer Operations.
  </li>
  <li>
   Oversee the "Build vs. Buy" evaluation for AI tools, ensuring interoperability with existing tech stacks (e.g., Azure AI, Microsoft 365 Copilot, or proprietary LLMs).
  </li>
  <li>
   Manage cross-functional "Pods" consisting of data scientists, engineers, and domain experts to deliver pilot projects within 60&ndash;90 day cycles.
  </li>
 </ul>
 <p>
  <strong>
   3. AI Governance &amp; Ethics
  </strong>
 </p>
 <ul>
  <li>
   Establish frameworks for
   <strong>
    Responsible AI
   </strong>
   , ensuring transparency, bias mitigation, and data privacy (GDPR/CCPA/AI Act compliance).
  </li>
  <li>
   Monitor AI performance for "model drift" and accuracy, ensuring the system remains reliable and defensible.
  </li>
 </ul>
 <p>
  <strong>
   4. Change Management &amp; Enablement
  </strong>
 </p>
 <ul>
  <li>
   Design and lead "AI Literacy" programs to upskill the workforce, moving beyond basic prompting to advanced AI-human collaboration.
  </li>
  <li>
   Manage organizational resistance by communicating a clear value narrative and identifying "AI Champions" within business units.
  </li>
  <li>
   Redesign workflows to capitalize on AI-human "Centaur" models, where AI handles routine processing and humans focus on high-stakes strategy and empathy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills &amp; Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
   Bachelor&rsquo;s degree in Business, Computer Science, or Data Science. An MBA or post-graduate degree in Digital Transformation is highly preferred.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
   6+ years of experience in Digital Transformation, Product Management, or Management Consulting, with at least 2&ndash;3 years focused specifically on AI/ML projects.
  </li>
  <li>
   <strong>
    AI Fluency:
   </strong>
   Deep understanding of Generative AI capabilities, LLM lifecycles, and
   <strong>
    Agentic Workflows
   </strong>
   . You don't need to be a coder, but you must be able to "speak engineer."
  </li>
  <li>
   <strong>
    Data Literacy:
   </strong>
   Proficiency in data strategy&mdash;understanding data pipelines, quality, and how "grounding" affects AI accuracy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tools &amp; Certifications (Preferred)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Certifications:
   </strong>
   Microsoft Certified: AI Transformation Leader, PMP, or similar.
  </li>
  <li>
   <strong>
    Tooling Knowledge:
   </strong>
   Familiarity with AI orchestration platforms (LangChain, Zapier Central), MLOps basics, and BI tools (Tableau, PowerBI).
  </li>
 </ul>
 <p>
 </p>
</div>


AI Transformation Manager

Capgemini

<div><div><div><p>Cairo</p><div>
Automation Test Engineer - German Speaking</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</p><div><div><div><div>Role Overview</div></div><div><p>
Your Role</p><ul><li>
Develop &amp; Maintain Automation Tests:<br>
Build reliable and scalable automated test scripts using Playwright, Cypress, Selenium, or SHAFT.</li><li>
Enhance Automation Frameworks:<br>
Contribute to framework design, improve test coverage, and ensure maintainability.</li><li>
Drive Quality in Agile Teams:<br>
Collaborate closely with developers, QA engineers, and product owners to embed testing best practices in agile workflows.</li><li>
Support CI/CD Integration:<br>
Implement automated tests within pipelines using tools like Jenkins or GitHub Actions.</li><li>
Troubleshoot &amp; Optimize:<br>
Analyze test failures, identify root causes, and help improve overall test efficiency and stability.</li><li>
Documentation &amp; Reporting:<br>
Maintain clear test documentation, report defects, and provide meaningful test insights to stakeholders.</li></ul><p></p><p>
Your Profile</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related discipline.</li><li>
3&ndash;6 years of experience in test automation across web, API, or mobile platforms.</li><li>
Technical Skills:</li><ul><li>
Programming: Java, JavaScript, TypeScript, or C#</li><li>
Automation Tools: Playwright, Cypress, Selenium, SHAFT, REST Assured, Appium</li><li>
CI/CD: Jenkins, GitHub Actions, TeamCity, Bamboo</li><li>
Test Management: JIRA, HP ALM, TestRail</li></ul><li>
Knowledge of Agile methodologies (SCRUM, SAFe), DevOps concepts, and SDLC.</li><li>
Fluency in German and English</li></ul><p>
</p></div></div></div><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.<br>
Make it real | www.capgemini.com</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
432481-en_US</div></div><div><div>
Posted on</div><div>
12 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Cairo</div></div><div><div>
Business unit</div><div>
Other Delivery units</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Quality Engineering &amp; Testing</div></div></div></div></div></div></div></div></div><p></p>

Automation Test Engineer - German Speaking

Shift EV

<div>
 <strong>
  About Shift Ev
  <br/>
  <br/>
 </strong>
 Shift EV is on a mission to electrify transportation and accelerate the global shift to sustainable mobility. Founded in 2021, we developed the first automotive grade industrial retrofitting process to reduce the cost and speed of electrification by an order of magnitude. Our business today spans MENA and Europe, financed by category leading investors. We empower our people with the responsibility to drive change at scale. At Shift EV, your ideas don&rsquo;t just matter &mdash; they shape a more sustainable world. Join us and be part of something bigger: the future of electric mobility.
 <br/>
 <br/>
 <strong>
  You&rsquo;ll Work On
  <br/>
  <br/>
 </strong>
 You will work on developing new battery designs to be utilized at the heart of e-mobility solutions as well as to accelerate the adoption of e-mobility. You will follow through from specification to advanced stages of the product: based on the performance requirement, ensure comprehensive qualification and validation of the design, work alongside production and quality teams to ensure that scaled up products meet required specifications, and address inadequate product performance if necessary.
 <br/>
 <br/>
 <strong>
  You'll Have Ownership Over
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Developing specifications and design of battery packs of different sizes for use in electric vehicles.
  </li>
  <li>
   Sizing &amp; Selecting components for battery packs and designing parts/subsystems inside battery packs.
  </li>
  <li>
   Designing structural elements, housings and fixations for Battery packs.
  </li>
  <li>
   Collaborating closely with the team for prototyping and testing your designs and making adjustments as needed from initial research and proof of concept to development of the final product version.
  </li>
  <li>
   Provide support throughout the planning of manufacturing of the electrical systems as well as through the manufacturing.
  </li>
  <li>
   Success:
  </li>
  <li>
   In 30 days: you will have developed a full design of your first product as well as initiated its prototyping and testing
  </li>
  <li>
   In 60 days: you will have tested your first product and initiated the planning for the small scale manufacturing plan.
  </li>
  <li>
   In 90 days: You will be overseeing the testing of the small production phase as well as collaborating with the team to scale up the production as needed according to our commercial plan. You will also work on design improvement based on testing as well as the company&rsquo;s plan
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An energy engineer, renewable energy engineer or mechatronics engineer with a strong background in both electrical and mechanical engineering and a proven record of experience in the fields of energy storage, 3D CAD design, modeling and simulations.
  </li>
  <li>
   A self-initiator who is naturally energized by new ideas and insights from others, able to prioritize projects, communicate progress, and deliver on time.
  </li>
  <li>
   Up-to date on latest technologies to continue to accelerate in-house technology development that will provide benefits in the ways of safety, reliability and cost
  </li>
  <li>
   Experienced using a variety of design, implementation and simulation tools such as Solid works, AutoCAD, Ansys or Simulink.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What To Expect From Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A startup where your work and contributions really count, growth-opportunity in a variety of skills and career directions
   <br/>
   <br/>
  </li>
 </ul>
 Shift EV is an equal opportunity employer and promotes diversity
</div>


Battery Design Engineer

Coca-Cola HBC

<div>
 <p>
  Department: Data Insights &amp; Artificial Intelligence
 </p>
 <p>
  Location: Cairo, Egypt
 </p>
 <p>
  <strong>
   Purpose of the Role
  </strong>
 </p>
 <p>
  As an AI Developer, you will be responsible for developing and implementing AI-driven solutions in collaboration with business and technical stakeholders. Your focus will be on building innovative AI use cases and prototypes &ndash; including cutting-edge Generative AI solutions &ndash; that unlock new value streams for the company. You will be part of a team driving AI initiatives across our 29+ markets, playing a key role in experimenting with emerging technologies and scaling successful proofs-of-concept into production solutions. We follow a SAFe Agile model, so you&rsquo;ll work within a product-centric team to quickly iterate on ideas, using Azure DevOps to manage your work and ensure continuous integration of new AI capabilities.
 </p>
 <p>
  In this role, you will contribute to analytics and AI initiatives across multiple functional areas of the business, including Route‑to‑Market, Supply Chain &amp; Planning, People &amp; Culture, Revenue Growth Management &amp; Finance, and Digital Commerce. These areas span a diverse portfolio of use cases, from customer and market segmentation, pricing and promotion optimization, and digital personalization, to forecasting, optimization, automation, and workforce analytics. Working with rich, large‑scale datasets, you will help translate complex business and operational data into scalable, production‑ready analytics and AI solutions that support decision‑making, improve execution, and drive measurable business impact across markets. The exact functional focus will depend on business priorities, product roadmaps, and team needs, ensuring exposure to a broad range of high‑impact problems rather than a single, siloed domain
 </p>
 <p>
  <strong>
   YOUR NEW KEY RESPONSIBILITIES:
  </strong>
 </p>
 <ul>
  <li>
   Dive into large and complex datasets to identify patterns and opportunities.
  </li>
  <li>
   Develop reliable ETL pipelines &amp; contribute to the architecture to support the application of generative AI models
  </li>
  <li>
   Apply statistical and machine learning techniques to solve business problems, alongside generative AI models.
  </li>
  <li>
   Spearhead the development of pilot solutions and support the lifecycle of the product.
  </li>
  <li>
   Ability to clearly articulate findings and insights to technical &amp; non-technical audiences
  </li>
  <li>
   Collaborate extensively with business, technical and cross-functional stakeholders to deeply understand challenges and identify opportunities.
  </li>
  <li>
   Work with Agile/SAFe delivery models and respective ways of working.
  </li>
  <li>
   Stay up to date with AI/ML advancements and share knowledge with the team.
  </li>
 </ul>
 <p>
  <strong>
   ARE THESE YOUR SECRET INGREDIENTS?
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative or related field.
  </li>
  <li>
   2 to 4 years of hands-on experience in data science or AI development
  </li>
  <li>
   Demonstrate curiosity and eagerness to communicate across on a day to day basis. Participation in innovation days &amp; hackathons is considered a plus.
  </li>
  <li>
   Problem solving skills, strong analytical mindset and attention to detail
  </li>
  <li>
   Proficiency in Python, Pyspark and SQL.
  </li>
  <li>
   Strong understanding of machine learning and generative AI techniques.
  </li>
  <li>
   Experience with production-ready AI deployments
  </li>
  <li>
   Experience working with big-data-tools. Azure Databricks is a plus.
  </li>
  <li>
   Experience working with big data &amp; AI tools (MS Foundry, Fabric IQ, Copilot Studio, OpenAI, Power Automate). Azure Databricks is a strong plus.
  </li>
  <li>
   Experience in Consumer Product Goods domain is considered a plus.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <br/>
   ABOUT YOUR NEW TEAM
  </strong>
 </p>
 <p>
  :We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC &ndash; one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our everyday mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve
 </p>
 <p>
  <strong>
   .AT COCA-COLA HBC, DIVERSITY HELPS US THRIV
  </strong>
 </p>
 <p>
  EIncluding and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value
 </p>
 <p>
  <br/>
 </p>
 .
</div>


AI Developer

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