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Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\nYour Role\nDevelop and enhance Generative AI applications using LLMs and AI frameworks.\nBuild and optimize RAG pipelines, vector search, and AI-powered workflows.\nDesign effective prompts and fine-tune models using techniques such as LoRA and QLoRA.\nDevelop REST APIs and integrate AI capabilities into enterprise applications.\nDeploy, monitor, and maintain AI solutions in cloud and containerized environments.\nEnsure code quality through testing, debugging, documentation, and code reviews.\nFollow Responsible AI, security, and data governance practices.\nYour Profile\nStrong proficiency in Python, OOP, APIs, debugging, and software development best practices.\nGood understanding of Data Structures & Algorithms, complexity analysis, and problem-solving.\nHands-on experience with LLMs, Prompt Engineering, RAG, AI Agents, and embeddings.\nExperience with LangChain, LangGraph, LlamaIndex, Hugging Face, or similar frameworks.\nKnowledge of vector databases, semantic/hybrid search, and retrieval architectures.\nExperience with PyTorch, TensorFlow, or Keras.\nFamiliarity with Docker, Git, CI/CD, and cloud platforms (Azure/AWS/GCP).\nUnderstanding of AI governance, data privacy, and Responsible AI principles.\nWhat you’ll love about working here\nWe recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance\nOur focus will be your career growth & professional development to support you in exploring the world of opportunities.\nEquip yourself with valuable certifications & training programmes in the latest technologies such as Python Gen AI\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. 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