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ai pre sales engineer

Velents.ai

<div>
 حلول فيلينتس بالذكاء الاصطناعي تخدم أكثر من 5 وزارات حكومية في المملكة العربية السعودية والكثير من الشركات الكبيرة والناشئة في مختلف القطاعات مثل مجالات التوظيف، التعليم، تطوير الموظفين، تأهيل الطلاب، خدمة العملاء، المبيعات، وغيرها. وذلك من خلال تطوير واجهات برمجة التطبيقات مثل المحادثات التفاعلية مع الذكاء الاصطناعي، تحويل الصوت والفيديو إلى نص، .تحليل الفيديو، قراءة ومطابقة المستندات، اختبارات المهارات، ونظام مكافحة الغش. والمزيد والمزيد.. تعرف أكثر على حلول فيلينتس بالذكاء الاصطناعي من خلال موقعنا
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Tender &amp; Proposal Management
 </li>
 <li>
 Work on government and enterprise tenders in Saudi Arabia, ensuring compliance with local procurement processes and infrastructure technology requirements.
 </li>
 <li>
 Prepare and deliver cost sheets, solution architectures, and compliance documentation aligned with customer expectations.
 </li>
 <li>
 Technical Leadership in Pre-Sales
 </li>
 <li>
 Present Velents.ai&rsquo;s AI-driven recruitment solutions to clients in a consultative manner.
 </li>
 <li>
 Lead proof of concept (POC) engagements from design through delivery, supported by our Vibe Coders team who will help implement and customize solutions.
 </li>
 <li>
 Demonstrate samples of technical proposals, architectures, and prior work to showcase expertise.
 </li>
 <li>
 Integration &amp; Solution Design
 </li>
 <li>
 Architect solutions leveraging APIs and integrations to connect Velents.ai with existing HR, ERP, or infra tech ecosystems.
 </li>
 <li>
 Provide technical validation for AI-driven workflows and ensure scalability in customer environments.
 </li>
 <li>
 Partner &amp; Ecosystem Engagement
 </li>
 <li>
 Manage channel partners and system integrators, ensuring smooth collaboration in deals and delivery.
 </li>
 <li>
 Support partner enablement with technical training, demos, and documentation.
 </li>
 <li>
 Commercial &amp; Strategic Support
 </li>
 <li>
 Work with sales to define technical win strategies and competitive differentiation.
 </li>
 <li>
 Build cost sheets and solution proposals aligned with both client budgets and Velents.ai&rsquo;s value proposition.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience in KSA tenders and infrastructure technology (Infra Tech), with a strong understanding of procurement and approval processes.
 </li>
 <li>
 Demonstrated expertise in AI solutions, APIs, and system integrations.
 </li>
 <li>
 Strong background in pre-sales engineering, solution architecture, or technical consulting.
 </li>
 <li>
 Proven ability to manage POCs, with support from an engineering team.
 </li>
 <li>
 Ability to create and present technical proposals, cost sheets, and architecture diagrams.
 </li>
 <li>
 Excellent communication skills in Arabic &amp; English (written and verbal).
 </li>
 <li>
 Strong stakeholder management experience, including partner and enterprise clients.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Prior experience in HR Tech, AI SaaS, or enterprise software solutions.
 </li>
 <li>
 Familiarity with Saudi government approval systems (e.g., Etimad/اعتماد).
 </li>
 <li>
 Hands-on knowledge of cloud, infra security, and enterprise integrations.
 
 
 </li>
 </ul>
 
 Why Join Velents.ai?
 
 
 
 <ul>
 <li>
 Be part of a fast-growing AI startup expanding across MENA.
 </li>
 <li>
 Opportunity to lead strategic, high-value deals in the KSA market.
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Laptop allowance
 </li>
 <li>
 Flexible work culture with growth opportunities into Solution Architect / Pre-Sales Lead roles.
 </li>
 </ul>
</div>

AI Pre-Sales Engineer

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 
 
 About the AI Factory Team
 
 
 
 
 The
 
 AI Factory
 
 team builds intelligent software tools and platforms that empower our business teams including Marketing, Operations, and Sales to leverage AI for productivity, automation, and data-driven decision-making.
 
 
 
 
 Role Overview
 
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer
 
 with strong AI/ML experience to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate Large Language Models, Generative AI, and data pipelines.
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 </li>
 <li>
 Stay updated on the latest trends in AI/ML, Generative AI, and LLM frameworks (LangChain, LlamaIndex, etc.).
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 About you
 
 
 
 <ul>
 <li>
 3+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong full-stack development skills
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Full Stack AI Software Engineer

Unifonic

<div>
 
 Job Description
 
 
 
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 
 
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 
 
 
 Meet the team!
 
 
 
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 
 
 As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including NLP, Text Classification, RAG, LLMs, Recommender engines, and Anomaly detection. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies.
 
 
 
 Help Us Shape The Future Of Communication By
 
 
 
 <ul>
 <li>
 Leading the end-to-end design, development, and deployment of robust and scalable machine learning solutions, with a strong emphasis on NLP and RAG architectures.
 </li>
 <li>
 Architecting and implementing RAG systems, combining large language models (LLMs) with robust retrieval mechanisms to improve the accuracy, factual grounding, and interpretability of generated content.
 </li>
 <li>
 Applying advanced NLP techniques for tasks such as text classification, entity recognition, sentiment analysis, summarization, question answering, and information extraction.
 </li>
 <li>
 Researching, evaluating, and integrating state-of-the-art NLP models and RAG frameworks (e.g., Transformers, BERT, GPT variants, Vector Databases, Semantic Search).
 </li>
 <li>
 Mentoring junior team members on the team, sharing knowledge, and advising the best machine learning and software engineering practices and approaches.
 </li>
 <li>
 Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products.
 </li>
 <li>
 Developing and optimizing highly confident machine learning algorithms and models and creating/exposing the service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks.
 </li>
 <li>
 Staying up to date with the latest machine learning research papers, and AI trends (i.e. Generative AI).
 </li>
 <li>
 Collaborating with the data engineering team and other teams to collect and analyze extensive datasets, extracting insights and patterns, in real-time, near-real-time, or batch processing mode.
 </li>
 <li>
 Implementing proof of concepts and prototypes to demonstrate the potential of new AI use cases and innovations.
 </li>
 <li>
 Building scalable, maintainable machine learning services, which should handle thousands of requests per second, and help to perform the required load tests to meet the SLA.
 </li>
 <li>
 Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture.
 </li>
 <li>
 Assisting in the project documentation and demos.
 
 
 </li>
 </ul>
 Job requirements
 
 
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Proven experience designing and implementing RAG systems, including familiarity with various retrieval strategies (e.g., BM25, dense retrieval, hybrid approaches) and knowledge graph integration.
 </li>
 <li>
 Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools for building and managing autonomous agents.
 </li>
 <li>
 Deep expertise in various NLP techniques and models, including but not limited to:
 
 
 </li>
 </ul>
 Transformer architectures (e.g., BERT, GPT, T5, LLama, Mistral)
 
 
 Large Language Models (LLMs) and their fine-tuning/adaptation
 
 
 Vector embeddings and similarity search
 
 
 Text classification, named entity recognition (NER), sentiment analysis, summarization, and question answering.
 
 
 <ul>
 <li>
 Hands-on 3-5 years of relevant work experience as a Machine Learning Engineer.
 </li>
 <li>
 Hands-on 3+ years of experience with Python.
 </li>
 <li>
 Excellent analytical abilities, with the capacity to collect, organize, and analyze large datasets to glean valuable insights.
 </li>
 <li>
 End-to-end experience in training, evaluating, testing, and deploying machine learning products in production.
 </li>
 <li>
 Ability to write world-class code in Python (SOLID principles), considering the best software engineering fundamentals, i.e. data structures, algorithms, and data modeling
 </li>
 <li>
 Solid experience in ML frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch, Keras, BERT, Tensorflow, and similar.
 </li>
 <li>
 Familiarity with MLOps best practices, e.g. Model deployment and reproducible research.
 </li>
 <li>
 Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, and dimensionality reduction.
 </li>
 <li>
 Basic knowledge of Kubernetes and Docker is nice to have.
 </li>
 <li>
 Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering.
 </li>
 <li>
 Experience with the Hugging Face libraries (i.e. transformers).
 </li>
 <li>
 Experience fine-tuning pre-trained models and using vector search to enhance LLMs results.
 </li>
 <li>
 Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques.
 </li>
 <li>
 Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains.
 </li>
 <li>
 Familiar with Agile methodologies i.e. scrum and kanban.
 </li>
 <li>
 Ability to develop high-level architecture and low-level design, End-to-end for a specific project.
 </li>
 <li>
 Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is a plus.
 </li>
 <li>
 Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques is nice to have.
 </li>
 <li>
 Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is nice to have.
 </li>
 <li>
 General knowledge of Data warehouse tools e.g. Vertica is a plus.
 </li>
 <li>
 A Bachelor&rsquo;s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Software, etc).
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Good level of spoken and written Arabic and English.
 
 
 </li>
 </ul>
 
 As a Unifone you will receive a range of benefits:
 
 
 
 <ul>
 <li>
 Competitive salary and bonus.
 </li>
 <li>
 Unifonic share scheme (we are all owners!).
 </li>
 <li>
 30 holiday days after the first anniversary.
 </li>
 <li>
 Your Birthday off!
 </li>
 <li>
 Spend up to 25 days per year working from anywhere in the world!
 </li>
 <li>
 Paid leave for new parents.
 </li>
 <li>
 LinkedIn learning license.
 </li>
 </ul>
</div>

Senior Machine Learning Engineer

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 do not bolt AI onto products &mdash; we design AI-native systems from day one.
 
 
 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.
 
 
 This is a full-stack tech lead role first: you will architect and ship end-to-end product systems (backend + frontend collaboration), and you must also be strong enough in AI/ML to build and productionize AI capabilities inside those systems.
 
 
 
 
 
 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.
 </li>
 <li>
 Embed AI capabilities into product systems (LLMs and/or domain AI like NLP/CV) in a way that is secure, observable, reliable, and scalable.
 </li>
 <li>
 Design and implement retrieval workflows (RAG), evaluation/guardrails, and agent/tool orchestration where they add real product value.
 </li>
 <li>
 Work with Python, OpenAI, Anthropic, LangGraph, LangChain, LlamaIndex, vector databases, and agent toolchains.
 </li>
 </ul>
 
 
 
 
 
 Engineer With Excellence
 
 
 <ul>
 <li>
 Write high-performance, production-grade code in Python (primary) for backend services and AI/ML systems.
 </li>
 <li>
 Build and productionize ML/AI components (training/inference pipelines, model serving, and integrations) with strong engineering discipline.
 </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 and cloud deployments on AWS.
 </li>
 <li>
 Kubernetes is a strong plus; AWS + Docker + CI/CD and production deployment ownership are required.
 </li>
 <li>
 Ensure systems are scalable, fault-tolerant, secure, and well-instrumented.
 </li>
 <li>
 Own production deployments of AI/ML components (model serving, monitoring, and lifecycle workflows) alongside the core application stack.
 </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>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Professional Engineering Experience &mdash; 12+ years building and shipping production-grade systems.
 </li>
 <li>
 Python Expertise (FastAPI or similar, production) &mdash; async services, Pydantic models, you write Python daily.
 </li>
 <li>
 Backend/System Architecture Ownership &mdash; you've owned system design decisions, led code reviews, mentored engineers, and shipped end-to-end systems as a senior IC or tech lead.
 </li>
 <li>
 Core ML / Deep Learning (hands-on) &mdash; built ML/DL systems using PyTorch or TensorFlow; understand training, evaluation, optimization.
 </li>
 <li>
 Production ML Deployment / MLOps &mdash; deployed ML systems to production; owned monitoring, versioning, rollback strategies, lifecycle management.
 </li>
 <li>
 Applied AI Systems Experience &mdash; shipped AI-powered features using LLMs and/or applied NLP/CV in real products (not experimentation only).
 </li>
 <li>
 PostgreSQL &mdash; schema design, query optimization, migrations.
 </li>
 <li>
 Cloud + Delivery &mdash; AWS + Docker + CI/CD; production deployments and operational ownership.
 </li>
 <li>
 REST API Design &mdash; clean interfaces serving multiple clients (web, mobile, service-to-service).
 </li>
 <li>
 Startup Execution &mdash; experience in fast-paced, high-ownership environments.
 </li>
 </ul>
 
 
 
 
 
 Strong Plus:
 
 
 <ul>
 <li>
 Ruby on Rails (production) &mdash; built and maintained real Rails APIs with background jobs (e.g., Sidekiq), webhooks, and complex domain logic.
 </li>
 <li>
 Kubernetes (production) &mdash; EKS (or equivalent), Kubernetes-based deployments, operational ownership.
 </li>
 <li>
 GenAI Depth &mdash; experience designing RAG systems, prompt strategies, fine-tuning workflows, and evaluation/guardrails.
 </li>
 <li>
 Retrieval &amp; Vector Systems &mdash; vector databases (Pinecone, Weaviate, or similar), embedding strategies, namespace/tenancy design, reranking.
 </li>
 <li>
 Agent Orchestration &mdash; multi-agent patterns, tool use, chain composition (CrewAI, LangGraph, or similar).
 </li>
 <li>
 AI Tooling Ecosystem &mdash; LangChain, LlamaIndex, Hugging Face, or similar; LLM observability/tracing (LangSmith or equivalent).
 </li>
 <li>
 Full-Stack Fluency &mdash; strong collaboration with frontend teams to ship end-to-end product experiences; clean API contracts.
 </li>
 <li>
 React 19 (JavaScript) &mdash; Redux Toolkit, RTK Query, Vite, shadcn/ui.
 </li>
 <li>
 Flutter/Dart &mdash; mobile app development, BLoC pattern, Clean Architecture.
 </li>
 <li>
 Firebase/Firestore &mdash; real-time sync, Cloud Functions.
 </li>
 <li>
 Stripe &mdash; payment processing, webhook-driven architecture, Connect.
 </li>
 <li>
 MongoDB &mdash; document modeling; async drivers (Motor) is a plus.
 </li>
 <li>
 Multimodal AI &mdash; vision models; real-time audio/video AI (LiveKit, OpenAI Realtime API).
 </li>
 <li>
 Redis + Sidekiq &mdash; background job processing, caching.
 </li>
 <li>
 0&rarr;1 / Venture Studio Experience &mdash; building products from scratch in multi-product, high-velocity environments.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 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/ Python) - Hands-On Builder

700apps

<div>
 We are looking for a highly skilled
 
 Senior AI Engineer / AI Architect
 
 to lead the design, development, and deployment of scalable AI solutions.
 
 
 In this role, you will combine hands-on model development with high-level system architecture to help shape our AI strategy and deliver production-ready intelligent systems.
 
 
 You will work closely with engineering, product, and leadership teams to transform business needs into powerful AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 AI Architecture &amp; System Design
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms.
 
 
 </li>
 </ul>
 Model Development
 
 
 <ul>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for machine learning workflows.
 </li>
 <li>
 Deploy models to production using containers and cloud services.
 </li>
 <li>
 Implement monitoring, logging, and automated retraining processes.
 </li>
 <li>
 Manage model lifecycle, versioning, and performance tracking.
 
 
 </li>
 </ul>
 Technical Leadership
 
 
 <ul>
 <li>
 Provide technical leadership to AI engineers and data scientists.
 </li>
 <li>
 Review code and guide best practices in AI development.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI solutions with business goals.
 </li>
 <li>
 Contribute to technical strategy and AI roadmap planning.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning engineering.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Hands-on experience with PyTorch or TensorFlow.
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks.
 </li>
 <li>
 Strong understanding of system design and scalable architectures.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 <li>
 Solid understanding of data pipelines and data engineering concepts.
 </li>
 </ul>
</div>

AI Architect

China Mobile International MENA Region

<div>
 
 Work Location: Egypt
 
 
 
 
 
 Responsibility
 
 <ul>
 <li>
 1. Provide end to end Support for all ICT Services Delivery both remote &amp; onsite.
 </li>
 <li>
 2. Build and execute a comprehensive project management plan covering the entire project lifecy-cle of ICT projects, ensuring alignment with organizational goals and objectives, and addressing key aspects such as scope, schedule, budget, quality, resources, Supplier Management, effective communication, and risk management.
 </li>
 <li>
 3. Support the Sales &amp; Pre-Sales team as needed for designing the solutions as per customer re-quirement &amp; commercial proposals, RFP submissions.
 </li>
 <li>
 4. Manage, maintain &amp; nurture ICT supplier relations in the region &amp; evaluate any new supplier as needed.
 </li>
 <li>
 5. Coordinate internally with various functions like Support, Product, Legal, Finance etc for execu-tion of customer requirements &amp; smooth delivery.
 </li>
 <li>
 6. Provide support to customer for any troubleshooting &amp; service lifecycle.
 </li>
 <li>
 7. Understand &amp; align to customer SLA &amp; other contract Terms &amp; Conditions.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ol>
 <li>
 Academic Qualification: Bachelor's degree or above in Telecommunication / Computer Engineer-ing.
 </li>
 <li>
 Working Experience: Minimum 5-7 Years of experience in ICT domain in Presales, Solutioning &amp; Project Management.
 </li>
 <li>
 Specific experience &amp; skills required:
 </li>
 </ol>
 <ul>
 <li>
 Hands on experience in Equipment installation, configuration, troubleshooting for deliv-ery of ICT products of various OEMs like Huawei, Cisco, ZTE, HP, Dell, Fortinet etc.
 </li>
 <li>
 Strong understanding of service components for ICT infrastructure build for small &amp; large scale projects covering office network setup, servers, security devices, unified col-laboration services/products, AV Systems, WIFI &amp; Network cabling etc.
 </li>
 <li>
 Excellent supplier management skills &amp; problem solving attitude.
 </li>
 <li>
 Added advantage if have knowledge IOT/5G related services.
 </li>
 <li>
 Technical knowledge in IPLC, IEPL, IP Transit, IP VPN, Cloud, ICT and IDC are preferred.
 </li>
 <li>
 Preferred Huawei ICT certified.
 </li>
 </ul>
 
 4.Language Proficiency: Good command of both written and spoken English. Mandarin/Chinese literacy is an advantage.
 
 
 
 
 
 
 
 
 *** Candidates with less experience would be considered for junior positions. ***
 
</div>

ICT Solution Consultant (Egypt)

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

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