Senior Gen AI/Agentic AI Full stack

Your Role & Responsibilities:

We are seeking a Full Stack Developer - GenAI to join our growing AI Hub in Egypt. In this role, you will be responsible for designing, developing, and deploying AI-powered applications leveraging Generative AI, Agentic AI frameworks, machine learning, and modern cloud technologies. You will collaborate with data scientists, AI engineers, business stakeholders, and cross-functional teams to deliver scalable, secure, and production-ready solutions that drive business value and innovation

As a Full Stack Developer – GenAI, your main responsibilities will include:

• Design, develop, and maintain scalable full-stack applications integrating Generative AI and Agentic AI capabilities.
• Build and enhance frontend and backend components using modern frameworks and development best practices.
• Develop and integrate AI-powered solutions leveraging LLMs, RAG architectures, copilots, intelligent assistants, and multi-agent systems.
• Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into AI-driven solutions.
• Develop and maintain APIs, microservices, and cloud-native services supporting AI and enterprise applications.
• Implement and optimize solutions for ingesting, processing, and retrieving information from structured and unstructured data sources.
• Deploy, monitor, and maintain AI applications using cloud platforms such as Azure, AWS, or GCP while ensuring scalability, reliability, and security.
• Contribute to architecture decisions, code reviews, performance optimization, testing activities, and continuous improvement initiatives.

Your Profile:

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Minimum 4-7 years of experience in Full Stack Development, with hands-on experience delivering AI-powered applications.
• Strong proficiency in Python and experience building scalable backend services and APIs.
• Hands-on experience with Generative AI, Agentic AI, Large Language Models (LLMs), and machine learning solutions.
• Experience developing and deploying GenAI applications using agent frameworks such as LangGraph, AutoGen, CrewAI, or similar technologies.
• Experience implementing RAG-based solutions, working with vector databases (e.g., FAISS, Pinecone, Weaviate, Azure AI Search), and processing unstructured data from documents, images, audio, and web sources.
• Experience deploying AI solutions on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform, with a solid understanding of system architecture, coding best practices, and data quality principles.
• Strong analytical, problem-solving, communication, and collaboration skills, with experience working in Agile delivery environments.

Why Join Us?

• Meaningful Impact: Contribute to innovative projects that help clients achieve their business and technology transformation goals.
• Professional Growth: Access continuous learning opportunities, certifications, mentorship, and career development programs.
• Global Exposure: Collaborate with diverse teams, clients, and stakeholders across industries and geographies.
• Cutting-Edge Projects: Work with leading technologies, methodologies, and business solutions.
• Collaborative Culture: Join an inclusive, supportive, and people-centric work environment.

Our Commitments and Priorities:

At Capgemini, we foster an inclusive culture within a diverse and multicultural environment. By joining us, you become part of a team that values diversity, develops talent, supports social impact initiatives, and actively contributes to reducing environmental impact across our operations and client engagements.

Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable future. With a strong heritage and a global presence across more than 50 countries, Capgemini delivers end-to-end services and solutions leveraging strengths in cloud, data, artificial intelligence, software, digital engineering, and platforms.