Senior Gen AI/Agentic AI Full stack

Job description

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 innovationAs 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.