chief engineer

maintenance engineer

planning engineer

asstmgr-engineering

backend engineer

ai engineer

Coca-Cola HBC

<div>
 
 
 Department: Data &amp; Automation
 
 
 
 
 Location: New Cairo, Egypt
 
 
 
 
 Purpose of the Role
 
 
 
 We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.
 
 
 You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES
 
 
 <ul>
 <li>
 Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI
 </li>
 <li>
 Create and manage the AI development and production infrastructure to support the AI initiatives
 </li>
 <li>
 Design, develop, and implement AI solutions to solve complex problems in various domains
 </li>
 <li>
 Automate AI infrastructures for the data science and platform teams
 </li>
 <li>
 Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation
 </li>
 <li>
 Transform machine learning models into APIs that can be integrated with other applications
 </li>
 <li>
 Collaborate across teams to help with AI adoption and best practices
 </li>
 <li>
 Analyze and optimize AI solutions for performance and scalability
 </li>
 <li>
 Stay up to date with the latest advancements in AI research and technologies
 </li>
 <li>
 Participate in code and design reviews to maintain a high-quality codebase
 </li>
 <li>
 Communicate effectively with team members and stakeholders to ensure project success
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENT
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.
 </li>
 <li>
 2 - 4 years of experience in AI, machine learning, or deep learning.
 </li>
 <li>
 Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
 </li>
 <li>
 Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).
 </li>
 <li>
 Solid understanding of AI models, neural networks, and machine learning concepts.
 </li>
 <li>
 Experience with natural language processing (NLP) and computer vision is a plus.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Proven experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language).
 </li>
 <li>
 Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks)
 </li>
 <li>
 Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)
 </li>
 <li>
 Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery
 </li>
 <li>
 Excellent problem-solving, analytical, and communication skills.
 </li>
 <li>
 Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated
 </li>
 <li>
 Azure certification, such as Azure AI Engineer Associate, is a plus.
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 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.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 Including 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.
 
</div>

AI Engineer

Tarjama&

<div>
 
 Job Purpose
 
 
 
 As a Senior AI Engineer at Tarjama&amp;, you will be responsible for designing, building, and deploying advanced AI systems that power language, document, and speech intelligence across our products. You will translate complex business and product needs into scalable, high-quality AI solutions, ensure their reliability in production, and continuously optimize their performance, accuracy, and cost-efficiency.
 
 
 You will play a key role in shaping Tarjama&amp;'s AI architecture and best practices, collaborating closely with product, engineering, and data teams to deliver impactful, real-world AI applications that enhance our localization, content, and technology solutions.
 
 
 
 Duties &amp; Responsibilities
 
 
 
 Multimodal AI Development
 
 
 <ul>
 <li>
 Develop and integrate text-based AI systems, including LLM pipelines, embeddings, rerankers, and scalable RAG architectures.
 </li>
 <li>
 Build and optimize document understanding systems using OCR, layout-aware vision models, and multimodal reasoning.
 </li>
 <li>
 Develop speech-based AI solutions, including STT, TTS, and conversational voice agents.
 </li>
 <li>
 Design and deploy multilingual and translation pipelines, ensuring quality, latency, and scalability across languages.
 
 
 </li>
 </ul>
 AI Product Development &amp; Deployment
 
 
 <ul>
 <li>
 Own the development of AI-powered features from concept through production, aligning solutions with product and business goals.
 </li>
 <li>
 Deploy, monitor, and optimize AI systems in production environments, ensuring reliability, scalability, and cost-efficiency.
 </li>
 <li>
 Collaborate closely with software engineering teams to integrate AI components into secure, maintainable, and scalable architectures.
 </li>
 <li>
 Implement observability, logging, and monitoring to support continuous improvement of AI systems.
 
 
 </li>
 </ul>
 Model Evaluation &amp; Optimization
 
 
 <ul>
 <li>
 Define evaluation strategies and metrics for multimodal AI systems, including accuracy, latency, robustness, and user impact.
 </li>
 <li>
 Benchmark, fine-tune, and optimize models for inference performance, cost-efficiency, and scalability.
 </li>
 <li>
 Conduct experimentation and A/B testing to validate model and system improvements.
 </li>
 <li>
 Identify and mitigate model failure modes, biases, and performance regressions.
 
 
 </li>
 </ul>
 AI Agentic Workflows &amp; Frameworks
 
 
 <ul>
 <li>
 Design, implement, and maintain AI agentic workflows that orchestrate language, vision, and speech models to solve multi-step, real-world tasks.
 </li>
 <li>
 Build and extend task-driven, tool-using AI agents using modern agent frameworks and orchestration patterns.
 </li>
 <li>
 Implement decision logic, memory strategies (short-term, long-term, vector-based), and tool-calling mechanisms for production-grade AI systems.
 </li>
 <li>
 Improve agent reliability through structured prompting, planning strategies, and error-handling mechanisms.
 
 
 </li>
 </ul>
 Data Processing &amp; Pipeline Management
 
 
 <ul>
 <li>
 Design, implement, and maintain data pipelines for text, document, and audio data used in training, evaluation, and inference.
 </li>
 <li>
 Ensure data quality, governance, and security in collaboration with data and platform teams.
 </li>
 <li>
 Analyze model outputs and user interactions to drive iterative improvements in system performance.
 
 
 </li>
 </ul>
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Work with product managers, designers, and engineers to translate requirements into robust AI solutions.
 </li>
 <li>
 Partner with senior engineers on system design decisions and technical direction.
 </li>
 <li>
 Provide technical guidance during integration, testing, and production rollout phases.
 
 
 </li>
 </ul>
 Documentation &amp; Knowledge Sharing
 
 
 <ul>
 <li>
 Maintain comprehensive documentation for AI architectures, agent designs, prompts, and evaluation frameworks.
 </li>
 <li>
 Share knowledge and best practices with peers through reviews, demos, and internal documentation.
 </li>
 <li>
 Contribute to improving team standards for AI development and deployment
 
 
 </li>
 </ul>
 
 Education, Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
 </li>
 <li>
 3-5 years of hands-on experience building and deploying production-grade AI/ML systems, with a strong focus on LLMs, NLP, and multimodal AI (text, vision, and/or speech).
 </li>
 <li>
 Proven experience developing AI agentic systems using LLMs, including task orchestration, tool/function calling, planning strategies, and short- and long-term memory (e.g., vector stores).
 </li>
 <li>
 Strong proficiency in Python, with practical experience using PyTorch and/or TensorFlow for model development, fine-tuning, and optimization.
 </li>
 <li>
 Demonstrated experience designing and scaling RAG architectures, search pipelines, embeddings, rerankers, and multimodal applications.
 </li>
 <li>
 Hands-on experience with document understanding systems, including OCR, layout-aware models, and vision-language reasoning, is highly desirable.
 </li>
 <li>
 Experience building or integrating speech-based AI systems (STT, TTS, conversational voice agents) and/or multilingual and translation pipelines is a strong plus.
 </li>
 <li>
 Solid understanding of model evaluation and optimization, including defining metrics, benchmarking, latency/cost optimization, A/B testing, and identifying failure modes or bias.
 </li>
 <li>
 Experience deploying AI systems using APIs, microservices, and cloud-based infrastructures, with familiarity in observability, logging, and monitoring best practices.
 </li>
 <li>
 Working knowledge of prompt engineering, fine-tuning strategies, and inference optimization for reliable, production-grade AI systems.
 </li>
 <li>
 Strong analytical and problem-solving skills, with a product-oriented mindset and passion for applying AI to real-world problems.
 </li>
 <li>
 Experience applying AI in regulated or domain-specific industries (e.g., legal, finance, enterprise) is a plus.
 </li>
 <li>
 Fluency in both English and Arabic is essential, with the ability to work in bilingual product and technical contexts.
 
 
 </li>
 </ul>
 
 Behavioral Competencies
 
 
 
 <ul>
 <li>
 Adaptability
 </li>
 <li>
 Problem Solving
 </li>
 <li>
 Initiative
 </li>
 <li>
 Team Oriented
 </li>
 <li>
 Ability to work under pressure
 
 
 </li>
 </ul>
 
 Technical Competencies
 
 
 
 <ul>
 <li>
 LLM Development &amp; Fine-Tuning
 </li>
 <li>
 Natural Language Processing (NLP) &amp; Generative AI
 </li>
 <li>
 AI Agent &amp; Workflow Automation
 </li>
 <li>
 Machine Learning Engineering
 </li>
 </ul>
</div>

Senior AI Engineer

<div>
 
 
 
 Department: Data &amp; Automation
 
 
 
 
 Location: New Cairo, Egypt
 
 
 
 
 Purpose of the Role
 
 
 
 We are seeking a talented and motivated Artificial Intelligence (AI) Engineer to join our growing DTPS AI team. As an AI Engineer, you will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. You will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence.
 
 
 You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 </li>
 <li>
 Create and manage the AI development and production infrastructure to support the AI initiatives.
 </li>
 <li>
 Design, develop, and implement AI solutions to solve complex problems in various domains.
 </li>
 <li>
 Automate AI infrastructures for the data science and platform teams.
 </li>
 <li>
 Built AI models from scratch and helped product managers and other stakeholders with analysis and implementation.
 </li>
 <li>
 Transform machine learning models into APIs that can be integrated with other applications.
 </li>
 <li>
 Collaborate across teams to help with AI adoption and best practices.
 </li>
 <li>
 Analyze and optimize AI solutions for performance and scalability.
 </li>
 <li>
 Stay up to date with the latest advancements in AI research and technologies.
 </li>
 <li>
 Participate in code and design reviews to maintain a high-quality codebase.
 </li>
 <li>
 Communicate effectively with team members and stakeholders to ensure project success.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, or a related field.
 </li>
 <li>
 1 - 2 years of experience in AI, machine learning, or deep learning.
 </li>
 <li>
 Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
 </li>
 <li>
 Experience with Azure AI chatbots, Generative AI, and prompt engineering (Copilot).
 </li>
 <li>
 Solid understanding of AI models, neural networks, and machine learning concepts.
 </li>
 <li>
 Experience with natural language processing (NLP) and computer vision is a plus.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Experience with Azure AI Services, (OpenAI, AI Search, AI speech, AI Document Intelligence, AI translator and AI language) is a plus.
 </li>
 <li>
 Hands-on knowledge on (big) data engineering technologies (e.g., PySpark, Databricks)
 </li>
 <li>
 Familiar with CI/CD, (Data) Quality Assurance and MLOps concepts and tools on similar use cases (e.g., Azure Machine Learning, mlflow)
 </li>
 <li>
 Hands-on knowledge of DevOps tools (Azure DevOps) supporting an Agile methodology for delivery
 </li>
 <li>
 Excellent problem-solving, analytical, and communication skills.
 </li>
 <li>
 Ability to work independently and as part of a team. Understanding of Agile methodology and SAFe Agile is appreciated
 </li>
 <li>
 Azure certification, such as Azure AI Engineer Associate, is a plus.
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 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.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 Including 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.
 
 
 
 
</div>

Junior AI Engineer

SDG Group Middle East

<div>
 
 💥
 
 Transform the Future with SDG: Global Leaders in Data &amp; AI
 
 💥
 
 
 
 
 
 SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including Industry &amp; Business Domain experts, Business Scientist, AI architects &amp; AI Engineers, AI R&amp;D and AI Compliance &amp; Governance Experts.
 
 
 With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends. We have strong alliances with major AI hyperscalers like Microsoft, Google, and AWS, and are recognized globally as a top leader in data and AI services. Our 2000+ consultants ensure businesses are AI-ready.
 
 
 Join SDG and be part of something extraordinary! Experience what it truly means to be an expert in Artificial Intelligence. If you're seeking to join a team fully specialized in Data, Analytics, and AI, we can't wait to meet you.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 ✍
 
 
 
 Build and Maintain Relationships
 
 : Establish trust with clients, gaining their confidence in our solutions. Work closely with them to understand their business needs and translate those into customized AI architecture solutions.
 
 
 
 Develop AI Advocates
 
 : Cultivate deep relationships with senior technical stakeholders, empowering them to become strong advocates for AI.
 
 
 
 Advise on AI Architectures
 
 : Leverage your expertise to guide clients on the most effective AI solutions tailored to their specific challenges.
 
 
 
 Collaborate with Sales
 
 : Provide technical expertise throughout the pre-sales process, helping to secure new business opportunities.
 
 
 
 Stay Ahead of Trends
 
 : Keep up with industry trends and emerging AI technologies to strategically position our offerings in the market.
 
 
 
 Be an AI Evangelist:
 
 Promote AI adoption by guiding clients and partners, contributing to publications, and building strong technical relationships.
 
 
 
 AI Innovative Roadmap Assessment:
 
 Design an innovation strategy aligned with business goals, incorporating partnership exploration, prototyping, governance, and immediate implementation of advanced AI solutions.
 
 
 
 AI Innovative Partnership Adoption:
 
 Leverage SDG's strategic partnerships to integrate advanced technologies such as platforms, models, and infrastructures, ensuring seamless adoption for business impact.
 
 
 
 Drive AI Portfolio Development
 
 : Communicate the value and capabilities of our AI solutions through presentations and hands-on demonstrations.
 
 
 
 
 
 
 What We Look For
 
 👇
 
 
 
 Education
 
 : Degree in mathematics, statistics, computer science, or a similar technical field, ideally with a focus on software engineering.
 
 
 
 Professional Experience
 
 : Proven experience as a Machine Learning Engineer or Architect.
 
 
 
 Technical Knowledge
 
 : Strong understanding of modern technologies foundational to machine learning and AI solutions in the cloud.
 
 
 
 Data Science Expertise
 
 : Theoretical and practical knowledge in data science fundamentals, solution lifecycles, and IAOps methodology.
 
 
 
 Tools Familiarity
 
 : Experience with IA tools such as IAFlow, KubeFlow, AWS SageMaker, and Azure IA Studio.
 
 
 
 Presentation Skills
 
 : Ability to confidently present to a range of stakeholders, including external clients, executives, IT leaders, and developers.
 
 
 
 
 
 
 Recommended Requirements
 
 👇
 
 
 
 Consulting Experience
 
 : Previous consulting work in Data &amp; Analytics or AI projects is highly valued.
 
 
 
 Data Architecture Proficiency
 
 : Strong grasp of data architecture and information modeling strategies.
 
 
 
 Generative AI Knowledge
 
 : Experience with generative AI models, including Large Language Models (LLMs), neural networks, and recommendation systems.
 
 
 
 Technical Expertise
 
 : Familiarity with frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI&rsquo;s generative AI tools.
 
 
 
 Certifications
 
 : Credentials in cloud platforms or AI architecture are a plus.
 
 
 
 
 
 
 About SDG Group and the Role
 
 🚀
 
 
 SDG Group is a global consulting firm, fully dedicated to Data, Analytics, and AI solutions. We offer end-to-end support across the entire data value chain, providing tailored career paths for those who wish to excel in the world of data. You&rsquo;ll have the chance to work on impactful projects with industry leaders, helping to drive real change.
 
</div>

AI Tech Presales

InVitro Capital

<div>
 
 
 About InVitro Capital
 
 
 
 InVitro Capital is a U.S.-based venture studio and fund. We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems. Our portfolio spans healthcare, home services, and sales technology.
 
 
 Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products.
 
 
 We operate with a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio.
 
 
 
 Role Overview
 
 
 
 We are looking for an exceptionally strong Tech Lead (AI + Full Stack) who codes every day and leads through architecture, execution, and example. This role is designed for elite senior builders who thrive in zero-to-one environments, enjoy solving complex problems, and can ship production-grade systems quickly.
 
 
 You will:
 
 <ul>
 <li>
 Architect core systems
 </li>
 <li>
 Build them with your own hands
 </li>
 <li>
 Integrate AI tooling &amp; agents
 </li>
 <li>
 Mentor engineers through technical leadership
 </li>
 <li>
 Drive engineering excellence across multiple ventures
 </li>
 </ul>
 
 This is not a people-management role &mdash; it is a high-impact IC leadership role.
 
 
 
 
 What You'll Do
 
 
 
 
 Build &amp; Lead With Technical Depth (70-90% hands-on)
 
 
 <ul>
 <li>
 Architect, build, and ship backend and full-stack systems end to end.
 </li>
 <li>
 Lead engineers through code reviews, architecture reviews, and solid technical decision-making.
 </li>
 <li>
 Own engineering execution across multiple ventures.
 </li>
 </ul>
 
 
 Design Scalable, AI-Native Architectures
 
 
 <ul>
 <li>
 Build modular APIs, distributed systems, and cloud-native microservices (Azure).
 </li>
 <li>
 Integrate AI models, retrieval workflows, and multi-agent systems into production applications.
 </li>
 <li>
 Work with Python, OpenAI, LangChain, LlamaIndex, vector databases, and agent toolchains.
 </li>
 </ul>
 
 
 Engineer With Excellence
 
 
 <ul>
 <li>
 Write high-performance, production-grade code (C#/.NET as primary).
 </li>
 <li>
 Use Python for AI workflows, automation, and data integrations.
 </li>
 <li>
 Build systems optimized for reliability, performance, and observability.
 </li>
 </ul>
 
 
 Full-Stack Ownership
 
 
 <ul>
 <li>
 Collaborate with frontend engineers to deliver seamless end-to-end experiences.
 </li>
 <li>
 Design clean APIs, interfaces, and developer workflows.
 </li>
 </ul>
 
 
 DevOps + Cloud Execution
 
 
 <ul>
 <li>
 Manage CI/CD pipelines, IaC, and Kubernetes deployments on Azure.
 </li>
 <li>
 Ensure systems are scalable, fault-tolerant, secure, and well-instrumented.
 </li>
 </ul>
 
 
 Technical Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Mentor engineers and uplift technical standards across the stack.
 </li>
 <li>
 Provide architectural direction and guide complex technical initiatives.
 </li>
 <li>
 Contribute to hiring and shaping engineering culture.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 
 Qualifications
 
 
 
 
 Required
 
 
 <ul>
 <li>
 12+ years of professional engineering experience, with a deep record of building production systems.
 </li>
 <li>
 Expert-level proficiency in C#/.NET.
 </li>
 <li>
 Strong experience designing and scaling cloud-native distributed systems (preferably Azure).
 </li>
 <li>
 Expertise in microservices, caching, API design, multithreading, and performance optimization.
 </li>
 <li>
 Real-world experience with AI toolchains, including:
 </li>
 <ul>
 <li>
 LLMs (OpenAI, Anthropic, etc.)
 </li>
 <li>
 Agents &amp; tools
 </li>
 <li>
 Retrieval pipelines &amp; vector databases
 </li>
 <li>
 LangChain / LlamaIndex or equivalent
 </li>
 </ul>
 <li>
 Strong SQL and NoSQL experience.
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, CI/CD.
 </li>
 <li>
 Ability to lead technical direction while being highly hands-on (IC-first).
 </li>
 <li>
 Experience working in fast-paced, high-ownership startup environments.
 </li>
 </ul>
 
 
 Huge Plus
 
 
 <ul>
 <li>
 Python for AI pipelines, data processing, and automation.
 </li>
 <li>
 Experience in regulated or high-compliance environments.
 </li>
 <li>
 Experience building 0&rarr;1 products, especially in multi-product or venture studio settings.
 </li>
 <li>
 Experience designing internal platforms or multi-tenant systems.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Compensation: $4,000-$5,000 USD/month base + bonus
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Paid Time Off (PTO)
 </li>
 <li>
 High ownership and autonomy
 </li>
 <li>
 Opportunity to build multiple AI-powered products from scratch
 </li>
 <li>
 A culture optimized for speed, impact, and technical excellence
 
 </li>
 </ul>
 
 
 Schedule &amp; Work Setup
 
 
 <ul>
 <li>
 Cairo-based candidates preferred
 </li>
 <li>
 Hybrid: expected at the Cairo office at least once per week
 </li>
 <li>
 Monday-Friday, aligned with U.S. Pacific Time
 </li>
 <li>
 High-autonomy, high-velocity engineering environment
 </li>
 </ul>
</div>

Tech Lead (AI + Full Stack) - Hands-On Builder

Brave Bison

<div>
 
 
 Who are we?
 
 
 
 A world where complexity is the only constant demands a new breed of company. Brave Bison is a different beast: a media, marketing and technology company purpose built for the digital era.
 
 
 
 
 
 Our universe is made up of award-winning business arms Brave Bison Performance, Brave Bison Commerce and SocialChain. And we&rsquo;re underpinned by our very own social-first media network who deliver monthly views in the billions for some of the biggest channels in sport and entertainment across YouTube, Snap, Meta and TikTok.
 
 
 
 
 
 We&rsquo;re a global collective who live and breathe digital, working with some of the boldest brands in the world to capitalise on the complexity that defines the modern marketing landscape.
 
 
 
 
 
 
 
 
 
 Our mission
 
 
 
 
 
 
 New platforms, new behaviours, new audiences, new trends, new technologies, new regulations&mdash;our clients&rsquo; worlds get more complex daily. Their agency partnerships shouldn&rsquo;t. It&rsquo;s our job to cut through the chaos, make the complex simple and navigate a clear path to growth for them.
 
 
 
 
 
 That&rsquo;s why we make it our mission to
 
 capitalise on complexity
 
 for our clients&mdash;by crafting dynamic digital solutions that outpace tomorrow&rsquo;s challenges.
 
 
 
 
 
 
 
 
 
 Our values
 
 
 
 
 
 
 
 
 
 We&rsquo;re a proudly diverse business comprised of deep specialists across social media, digital marketing and technology. Although our skills, backgrounds and beliefs may differ, we are united by four core shared values:
 
 <ul>
 <li>
 
 Bold Curiosity.
 
 </li>
 </ul>
 
 We run at change and challenge convention because we love to push the boundaries of what the world thinks is possible. We champion discovery, go deep into our clients&rsquo; worlds and are always hungry to learn more about them, our specialisms and each other.
 
 
 
 
 <ul>
 <li>
 
 Connected Clarity.
 
 </li>
 </ul>
 
 We are focused in our collaboration &mdash; joining the right dots between our clients, our partners and our herd of experts to deliver agile solutions at speed and scale. We set a shared ambition from the outset, are transparent at every stage and always strive to make the complex simple.
 
 
 
 
 <ul>
 <li>
 
 Positive Encouragement.
 
 </li>
 </ul>
 
 We want to make working with us the best part of someone&rsquo;s day. We lift one other up, find the fun in the day to day and are committed to ensuring everyone belongs.
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Constant Impact.
 
 </li>
 </ul>
 
 We believe in outcomes over outputs. We&rsquo;re goal orientated, results driven and data led. We show up with passion every day. And we&rsquo;re always honing our craft.
 
 
 
 
 
 
 Brave Bison Performance
 
 
 
 With over 20 years&rsquo; experience growing our clients&rsquo; businesses through digital media, we help brands leverage the right data, right partners and right tech to capitalise on complexity and supercharge their online growth.
 
 
 By going deep into our clients&rsquo; world, investing their budget where it will work the hardest and ensuring that we only win when they win, we stand for braver digital in a world of opportunity.
 
 
 
 
 
 
 Job Specification
 
 
 
 We are looking for an experienced backend Software Engineer with a strong background in data science projects and backend development, particularly in Python and related technologies. The ideal candidate will drive the development of innovative applications to support digital marketing initiatives, leveraging data from various media platforms. In this role, you will build, clean, and label data pipelines and use the processed data to enable performance reporting, predictive modeling, and advanced AI use cases. You will also lead development efforts in various exciting AI-powered applications which are in our roadmap for 2025.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Architect and implement scalable applications that ingest and clean data from APIs of digital marketing platforms.
 </li>
 <li>
 Design and build systems for labeling, categorizing, and cleaning data, enabling it to power performance dashboards and AI models.
 </li>
 <li>
 Lead the development of predictive models for media spend forecasting as part of an MVP, with plans to expand into other AI-based modules.
 </li>
 <li>
 Collaborate with data science teams to develop GPT-powered models for digital marketing performance enhancement.
 </li>
 <li>
 Develop AI-driven tools that are aimed to drive efficiency or performance
 </li>
 <li>
 Create powerful pipelines to help create dashboards to present key insights from processed data.
 </li>
 <li>
 Own the end-to-end solution design, ensuring robustness, scalability, and alignment with business goals.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 5+ years of experience as a backend developer with a focus on data science, AI projects, and backend systems development.
 </li>
 <li>
 3+ years of experience in programming expertise in Python and familiarity with related languages such as Java or Scala.
 </li>
 <li>
 Hands-on experience working with APIs, data pipelines, and cloud-based infrastructure (AWS, Azure, or Google Cloud).
 </li>
 <li>
 Demonstrable understanding of machine learning, predictive modeling, and AI technologies.
 </li>
 <li>
 Experience building and deploying models for forecasting, performance reporting, and AI-driven applications.
 </li>
 <li>
 Familiarity with computer vision techniques and OCR for transforming image-based data into structured formats.
 </li>
 <li>
 Strong problem-solving skills and the ability to design scalable, reliable, and efficient solutions.
 </li>
 <li>
 Excellent communication and collaboration skills to work cross-functionally with data scientists, engineers, and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Nice-to-Have:
 
 
 <ul>
 <li>
 Experience working in the digital marketing domain.
 </li>
 <li>
 Familiarity with GPT-based models and natural language processing (NLP) applications.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll get
 
 
 
 Our people make us who we are, so to make sure we attract and retain the best and brightest in the industry, we offer an attractive benefits package. Of course, we offer the usual perks you would expect from a leading agency (stylish office, tick! Pool table, tick! Friday beers, tick! Daily breakfast and fruit, tick!).
 
 
 
 
 
 But not only that, we are the UK&rsquo;s first carbon neutral agency (a status we have held since 2018), with a serious commitment to monitoring and reducing the impact our work has on the planet across three core sustainability pillars of Greenhouse Gases, Waste &amp; Recycling and Sustainable Consumption.
 
 
 
 
 
 Then there&rsquo;s a whole host of benefits &ndash; from discounted gym memberships and free eye tests to an employee pension scheme and enhanced maternity, paternity, and adoption package. Here&rsquo;s a snapshot of just some of the benefits we think you might also like:
 
 
 
 
 <ul>
 <li>
 
 Dynamic working:
 
 To keep that work-life harmony in check, we're flexible on where and when you work
 </li>
 <li>
 
 Above-statutory employer&rsquo;s pension contribution:
 
 It matters, so we make sure it&rsquo;s done properly.
 </li>
 <li>
 
 Private medical insurance:
 
 To keep you fighting fit and give you and your family peace of mind.
 </li>
 <li>
 
 Life assurance and income protection:
 
 We know it feels good to be covered, just in case.
 </li>
 <li>
 
 Calm Subscription:
 
 Now more than ever, it&rsquo;s important to mind your mind!
 </li>
 <li>
 
 25 days annual leave:
 
 This increases to 27 days after three years with us, and then increases every subsequent year up to a max. of 30 days
 </li>
 <li>
 
 Christmas closure:
 
 No need to save holiday days for the Christmas closure period. It's on us!
 </li>
 <li>
 
 Birthdays off:
 
 One extra day to celebrate your big day
 </li>
 <li>
 
 Summer hours:
 
 Between June and Aug we finish at 15.00 every Friday.
 </li>
 <li>
 
 Online coaching:
 
 Unlimited coaching via OpenUP
 </li>
 <li>
 
 Remote Working:
 
 Work abroad for up to one month a year.
 </li>
 <li>
 
 Bonus:
 
 Annual bonus paid on delivering above baseline target &ndash; 50% of all profit goes to bonus pot and is uncapped.
 </li>
 <li>
 
 Performance &amp; Salary:
 
 Reviewed twice a year for everyone.
 </li>
 </ul>
 
 
 
 
 Finally, we&rsquo;re proud and committed to being an equal opportunity workplace, providing equal opportunities for all and treating all existing employees and all job applicants in the same way, regardless of their age, disability, gender, gender reassignment, race, religion or belief, sexual orientation, pregnancy and maternity status and marital &amp; civil partnership status
 
 
 
 
</div>

Senior Software Engineer

Innovito | إنوفيتو

<div>
 
 Role Overview
 
 
 We are looking for a
 
 Product Support Engineer
 
 to take technical ownership of our Learning Management System (LMS) across active projects. This role requires strong analytical thinking, comfort with complex system logic, and clear communication with both internal teams and clients.
 
 
 This is a
 
 hands-on, system-focused role
 
 that emphasizes understanding, diagnosing, and improving product functionality rather than software development.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Act as the technical point of contact for LMS-related project communication
 </li>
 <li>
 Develop a deep, end-to-end understanding of the LMS architecture, logic, and workflows
 </li>
 <li>
 Analyze and resolve functional and logic-based system issues
 </li>
 <li>
 Perform regular system testing to identify edge cases, inconsistencies, and usability problems
 </li>
 <li>
 Manage and track LMS-related tasks and investigations using ClickUp
 </li>
 <li>
 Support internal teams by answering advanced functional and system-logic questions
 </li>
 <li>
 Leverage AI tools to accelerate analysis, testing, documentation, and problem-solving
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a closely related field &mdash; or equivalent practical experience.
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to quickly understand and reason about large, complex systems
 </li>
 <li>
 Comfortable communicating technical concepts clearly to non-technical stakeholders
 </li>
 <li>
 High ownership mentality with attention to detail
 </li>
 <li>
 Habitual and effective use of AI tools to improve speed, quality, and decision-making
 </li>
 <li>
 Background in SaaS platforms, LMS systems, technical support, or product operations is a strong plus
 </li>
 </ul>
</div>

Product Support Engineer – LMS

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