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eSense

<div>
 Position Overview
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze requirements and contribute to technical AI solution design.
 </li>
 <li>
 Strong programming skills in Python (mandatory).
 </li>
 <li>
 Experience in backend development (APIs, microservices, model serving).
 </li>
 <li>
 Hands-on experience with local LLM deployment and optimization.
 </li>
 <li>
 Experience in RAG system design and vector databases.
 </li>
 <li>
 Practical experience in model fine-tuning (LoRA / PEFT).
 </li>
 <li>
 Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 </li>
 <li>
 Experience working in Linux environments.
 </li>
 <li>
 Participate in peer code reviews and team planning activities.
 </li>
 <li>
 Provide task estimations and deliver within approved timelines.
 </li>
 <li>
 Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 </li>
 <li>
 2-5 years of experience in AI Engineering.
 </li>
 <li>
 Proficiency in C#, .NET Core and Python.
 </li>
 <li>
 Experience with Structured and Unstructured databases.
 </li>
 <li>
 Experience with Angular or other frontend technologies is a strong plus.
 </li>
 <li>
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 </li>
 <li>
 Familiarity with Git, RESTful services, and Agile development methodologies
 </li>
 </ul>
</div>

AI Engineer

Finaira

<div>
 The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
 
 
 
 The difference you will make
 
 
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates.
 </li>
 <li>
 Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Education:
 
 
 Bachelor's degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production.
 </li>
 <li>
 Demonstrated deep expertise in a specific AI sub-field
 
 
 </li>
 </ul>
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization.
 </li>
 <li>
 Ability to critically evaluate and apply academic research to real-world problems
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization. o Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
</div>

Senior AI Engineer

<div>
 
 The Senior AI Engineer is a senior individual contributor with deep expertise in a specific domain of AI/ML, responsible for tackling the most complex technical challenges, driving architectural decisions for critical AI components, and setting technical standards. This role requires a blend of advanced research understanding and robust engineering skills to bring cutting-edge AI innovations into production.
 
 
 
 
 
 The difference you will make:
 
 <ul>
 <li>
 Act as a subject matter expert in one or more specialized AI/ML domains (e.g., Generative AI, Explainable AI, Large Language Models, Reinforcement Learning, Real-time Anomaly Detection).
 </li>
 <li>
 Lead the design and implementation of highly scalable, fault-tolerant, and high-performance AI systems and infrastructure.
 </li>
 <li>
 Evaluate and integrate new AI/ML research, algorithms, and technologies into product development.
 </li>
 <li>
 Drive continuous improvement in MLOps, model monitoring, and model governance frameworks.
 </li>
 <li>
 Provide expert technical guidance and mentorship to other AI Engineer 1s and Associates. &bull; Conduct complex performance tuning, optimization, and debugging of AI/ML models and pipelines.
 </li>
 <li>
 Participate in strategic planning for AI initiatives, identifying opportunities for technological advancement.
 </li>
 <li>
 Influence technical direction and architecture discussions within the AI/ML team and across engineering.
 </li>
 <li>
 Lead code reviews for critical components, ensuring architectural integrity, performance, and maintainability.
 </li>
 </ul>
 
 
 
 
 What you will bring to the role:
 
 
 
 Education:
 
 Bachelor&rsquo;s degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field.
 
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 5+ years of progressive experience in AI/ML engineering, with a proven track record of designing and deploying complex AI systems into production. Demonstrated deep expertise in a specific AI sub-field.
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Expert-level proficiency in Python and advanced ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX).
 </li>
 <li>
 Extensive experience with cloud-native AI/ML services and distributed computing frameworks (e.g., Spark, Ray).
 </li>
 <li>
 Deep understanding and hands-on experience with MLOps best practices, including CI/CD, model serving, and monitoring in production environments.
 </li>
 <li>
 Strong architectural design skills for complex data pipelines and scalable AI inference systems.
 </li>
 <li>
 Proficiency in system design, distributed systems, and performance optimization. o Ability to critically evaluate and apply academic research to real-world problems.
 </li>
 </ul>
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication.
 </li>
 <li>
 Effective time management and task prioritization.
 </li>
 <li>
 Analytical thinking and problem-solving skills.
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members.
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment.
 </li>
 <li>
 Strong attention to detail and a commitment to quality.
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 </li>
 </ul>
 
 
 
</div>

Global Digital Consulting Group Inc.

<div>
 
 
 Cisco Systems
 
 
 , a leading US technology company, is seeking an
 
 
 AI Engineer &ndash; Golang &amp; Microservices
 
 
 to design, build, and deploy production-grade AI systems leveraging RAG, agent orchestration, and model optimization techniques, integrated into high-performance Golang microservices. This fully remote role from Egypt involves close collaboration with US-based teams while owning the scalability, reliability, governance, and observability of AI platforms in production.
 
 
 
 
 
 
 In this role, you will
 
 architect and implement
 
 
 distributed AI systems that merge intelligent model pipelines with resilient
 
 
 Golang microservices
 
 
 , ensuring performance, governance, and operational excellence across cloud environments.
 
 
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 
 Architect, build, and operate production-grade AI platforms integrating LLM systems with scalable Golang microservices.
 
 </li>
 <li>
 
 Design and implement Retrieval-Augmented Generation (RAG) and hybrid search pipelines with vector databases and knowledge graphs for grounded AI responses.
 
 </li>
 <li>
 
 Develop and orchestrate agent-based AI workflows with structured tool calling, multi-step reasoning, and state management.
 
 </li>
 <li>
 
 Build high-performance REST and gRPC services in Golang to serve AI inference, embeddings, and evaluation pipelines at scale.
 
 </li>
 <li>
 
 Implement model optimization strategies including LoRA-based fine-tuning, distillation, quantization, and pruning for efficient deployment.
 
 </li>
 <li>
 
 Establish automated evaluation, guardrails, and observability frameworks to monitor hallucination rates, drift detection, and model performance.
 
 </li>
 <li>
 
 Integrate AI services with cloud-native infrastructure (AWS/GCP/Azure) using Docker and Kubernetes for scalable and reliable deployment.
 
 </li>
 <li>
 
 Design event-driven AI pipelines leveraging Kafka or similar messaging systems for asynchronous processing and workflow orchestration.
 
 </li>
 <li>
 
 Enforce AI governance, privacy, and security standards including adversarial testing, red-teaming practices, and data protection controls.
 
 </li>
 <li>
 
 Collaborate with cross-functional teams to improve reliability, scalability, and performance while continuously refining AI system architecture.
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 2+ years of experience in AI Systems Engineering or Platform roles, with strong production exposure.
 
 </li>
 <li>
 
 Strong proficiency in Golang, building scalable REST and gRPC microservices in distributed environments.
 
 </li>
 <li>
 
 Hands-on experience designing and deploying LLM-powered systems, including RAG pipelines, agent workflows, or tool orchestration.
 
 </li>
 <li>
 
 Practical experience with model optimization techniques such as LoRA, distillation, quantization, or other PEFT methods.
 
 </li>
 <li>
 
 Experience integrating AI services with vector databases, hybrid search, or knowledge graph systems for grounded generation.
 
 </li>
 <li>
 
 Solid understanding of cloud-native architecture (AWS/GCP/Azure), containerization (Docker), and Kubernetes-based deployments.
 
 </li>
 <li>
 
 Experience implementing observability, evaluation frameworks, and reliability practices for AI systems (monitoring, guardrails, drift detection), and working in an agile environment.
 
 </li>
 <li>
 
 Familiarity with asynchronous architectures using Kafka or similar messaging systems for event-driven AI workflows.
 
 </li>
 <li>
 
 Strong understanding of system performance, scalability, security, and AI governance principles in production environments.
 
 </li>
 </ul>
 
 
 
</div>

AI Engineer – Golang & Microservices | Cisco Systems USA

Siemens Digital Industries Software

<div>
 
 
 FA Industrial Copilot for Operations &ndash; Product
 
 
 Creator
 
 
 Team &ldquo;DI FA ICP OPS PRC 1&rdquo;
 
 , is seeking
 
 3 AI/ML Engineers (fresh graduate, 1+, and 3+)
 
 for
 
 contractor positions
 
 to join the team in Cairo, Egypt.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build AI prototypes and turn them into scalable solutions.
 </li>
 <li>
 Leverage Agentic AI frameworks to build autonomous intent-based pipelines.
 </li>
 <li>
 Build, test, and integrate vision models into end-to-end workflows.
 </li>
 <li>
 Create and run model evaluation suites to measure model's accuracy and performance.
 </li>
 <li>
 Collaborate with cross functional teams to translate innovations into AI driven solutions.
 </li>
 <li>
 Stay current with emerging AI tools, libraries, and best practices.
 </li>
 <li>
 Become a technical innovation champion.
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S./M.S. in Computer Science, Computer Engineering, or a related field.
 </li>
 <li>
 Hands-on experience taking AI prototypes from concept to production grade systems.
 </li>
 <li>
 Strong Python programming skills with the ability to write asynchronous, high throughput code.
 </li>
 <li>
 Experience using cloud and/or open-source Language Models (OpenAI, HuggingFace, ...).
 </li>
 <li>
 Experience using Agentic AI frameworks (Langchain, LlamaIndex, ...).
 </li>
 <li>
 Hands-on experience with building, testing, deploying Computer Vision models using (Tensorflow, PyTorch, ...).
 </li>
 <li>
 Work with Git, automated testing, and CI/CD pipelines.
 </li>
 <li>
 Familiarity with cloud providers (Azure, AWS) and their services.
 </li>
 <li>
 Familiarity with container building and orchestration (Docker, Kubernetes, ...).
 </li>
 <li>
 Hands on experience with model and workflow evaluation frameworks is huge a plus.
 </li>
 <li>
 Experience with Typescript is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 If you are interested or know someone interested, please send the resume to hiring.fa.eg@siemens.com with subject &ldquo;
 
 AIML-Feb-26
 
 &ldquo;.
 
</div>

AI/ML Engineer

Valeo

<div>
 
 You will be joining the
 
 AI4ALL
 
 initiative within our Group IS Application Center (GISACC). This agile team is dedicated to revolutionizing our products and internal tools by harnessing the power of cutting-edge
 
 Generative AI
 
 . We aim to build scalable, serverless, and intelligent applications that seamlessly integrate into Valeo&rsquo;s workflow.
 
 
 
 
 
 Mission
 
 
 
 
 
 As a
 
 Senior AI Data Engineer
 
 , you will bridge the gap between raw enterprise data and our Generative AI ecosystem. You will architect the "nervous system" of our AI models, ensuring our LLMs have access to high-quality, real-time, and contextually relevant data to power the next generation of Valeo&rsquo;s Software Defined Vehicle (SDV) tools and internal processes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Advanced RAG Architecture: Design and implement end-to-end pipelines for Retrieval-Augmented Generation (RAG), including advanced retrieval techniques, Graph RAG, Agentic RAG, and multimodal RAG.
 </li>
 <li>
 Vector Database Management: Architect and optimize vector stores (e.g., Qdrant, Pinecone) to handle high-dimensional embeddings and ensure low-latency similarity searches.
 </li>
 <li>
 Data Connectivity: Design, develop, and maintain secure data connectors to pull information from various external tools, SaaS platforms, and internal databases.
 </li>
 <li>
 Data Pre-processing for Gen-AI: Develop cleaning and normalization workflows specifically for unstructured data (PDFs, HTML, Markdown) to ensure optimal LLM performance.
 </li>
 <li>
 Orchestration: Use tools like LangChain, LlamaIndex, or Haystack to orchestrate complex data flows between storage, embedding models, and LLM endpoints.
 </li>
 <li>
 Monitoring &amp; Evaluation: Implement "RAG-as-a-service" monitoring to track retrieval quality (faithfulness, relevancy) and data drift in production.
 
 
 </li>
 </ul>
 
 
 Candidate Profile
 
 
 
 
 <ul>
 <li>
 Education: B.Sc. or M.Sc. in Computer Science, Data Engineering, or a related field.
 </li>
 <li>
 Experience: 5+ years in Data Engineering with a recent focus on AI/ML pipelines.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Languages: Expert proficiency in Python and SQL; knowledge of Java or Go is a plus.
 </li>
 <li>
 Data Tools: Experience with Spark, Kafka, Airflow/Prefect, and dbt.
 </li>
 <li>
 AI Frameworks: Hands-on experience with LangChain, LlamaIndex, OpenAI API, Hugging Face, MCP, A2A, and ADK.
 </li>
 <li>
 Vector DBs: Proficiency with Qdrant, Pinecone, Chroma, Weaviate, or pgvector.
 </li>
 <li>
 Cloud/DevOps: Knowledge of GCP/AWS, Docker, and Kubernetes.
 </li>
 </ul>
 <li>
 Preferred: Deep understanding of embedding models, chunking strategies, and unstructured data extraction tools (e.g., Unstructured.io, PyMuPDF).
 </li>
 </ul>
</div>

Senior AI Data Engineer, AI4ALL

Siemens

<div>
 Siemens Digital Industries Software is a global leader in Electronic Design Automation (EDA) software, hardware, and design solutions. We partner with the world&rsquo;s leading producers of semiconductor microelectronic circuits and systems, enabling them to design and produce cutting-edge electronic products faster and more efficiently.
 
 
 We&rsquo;re excited to share that the
 
 Siemens EDA Central AI QA team
 
 is growing! This team develops core AI technologies that power the entire Siemens EDA product portfolio.
 
 
 We are hiring
 
 4 talented AI QA Engineers
 
 to join our EDA AI QA team in
 
 Cairo, Egypt
 
 . In this role, you&rsquo;ll be at the forefront of testing cutting-edge AI solutions for electronic design automation applications &mdash; including GenAI chatbots and more. You&rsquo;ll also collaborate closely with cross-functional teams across Siemens to help integrate these AI capabilities into EDA products.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and execute comprehensive test plans and cases to validate AI application functionality.
 </li>
 <li>
 Create innovative test scenarios that reflect real customer use cases, identifying issues and recommending improvements.
 </li>
 <li>
 Perform both manual and automated testing of conversational flows, APIs, integrations, and overall system performance.
 </li>
 <li>
 Identify, analyze, troubleshoot, and clearly report issues.
 </li>
 <li>
 Stay current with industry trends and best practices in AI and conversational platform testing.
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 B.Sc./M.Sc. in Software or Electronics Engineering with 0&ndash;3 years of experience.
 </li>
 <li>
 Good understanding of AI, ML, and LLM basics.
 </li>
 <li>
 Familiar with API testing.
 </li>
 <li>
 Comfortable using scripting languages like Python, JavaScript, or Java.
 </li>
 <li>
 Experience with tools such as Selenium or Postman is a plus.
 </li>
 <li>
 Any exposure to NLP (intent recognition, entity extraction, conversational flows) is a plus!
 </li>
 <li>
 Basic knowledge of QA methods and development tools (version control, issue tracking, test coverage).
 </li>
 <li>
 Strong problem-solving and attention to detail, able to work independently while communicating clearly with the team, and fluent in English (written and spoken).
 
 
 </li>
 </ul>
 We&rsquo;re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity.
</div>

AI QA Engineer

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287 ai engineer jobs In Cairo Egypt

AI Engineer

Senior AI Engineer

Senior AI Engineer

AI Engineer – Golang & Microservices | Cisco Systems USA

AI/ML Engineer

Senior AI Data Engineer, AI4ALL

AI QA Engineer