AI Engineer
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Role Overview
We are seeking an AI Engineer/Data Scientist to support the development and delivery of GenAI and agent-based solutions, working closely with senior architects and platform teams.
Key Responsibilities
- Contribute to building LLM-based and agentic AI solutions.
- Develop agent workflows and RAG pipelines for real use cases.
- Write and maintain Python code for AI systems and integrations.
- Work with frameworks like LangChain, LangGraph, or LlamaIndex.
- Collaborate with MLOps teams on deployment, monitoring, and CI/CD.
- Support technical discussions and documentation as needed.
Requirements
- 4+ years of experience in software or AI/ML engineering.
- Experience with Python and exposure to GenAI, LLMs, or RAG.
- Familiarity with agent frameworks or similar tools.
- Strong problem-solving and communication skills.
- Fluent in Arabic and English.
Nice to Have
- Experience with cloud platforms (Azure, AWS, GCP).
- Exposure to multi-agent systems or advanced AI workflows.
- Client-facing or consulting experience.
Job Description - Grade Specific
The role combines advanced technical expertise in data science with consulting skills to provide strategic guidance and solutions to clients. Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.