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Capgemini
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Agentic AI Developer

Agentic AI Developer

Capgemini

5 - 9 years

0 Lacs

chennai tamil nadu

Posted:2 days ago| Platform: Shine logo

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Skills Required

python agentic ai architectures multiagent communication protocols large language models llms retrievalaugmented generation rag pipelines finetuning of foundational models lightweight models data scientists ml engineers pytorch tensorflow prompt engineering chaining logic

Work Mode

On-site

Job Type

Full Time

Job Description

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. Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensuring that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. 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.,

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Agentic AI Developer