GEN AI / Agentic AI Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role

• Experience with Natural Language Processing (NLP).
• Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Experience with AI and Machine Learning algorithms.

Your Profile

• 4 to 14 yrs of experience with Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Familiarity with AI platforms and understanding of their capabilities and limitations.
• Ability to design & implement AI models.

What You’ll Love About Working Here

• We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
• Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
• Equip yourself with valuable certifications & training programmes in the latest technologies such as Gen AI

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.