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Capgemini Invent

digital transformation consulting · SAP S/4HANA implementation

Cloud AI Engineer

MumbaiPosted 1 month ago
Software engineeringMid-level
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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations Your Role Hands-on engineering experience, with building something real with LLMs, RAG, agents, or GenAI applications. Substantial hobby projects count. Strong Python. Comfortable with LangChain, LlamaIndex, LangGraph, DSPy, or equivalents, and clear on when to use them versus when to write plain code. Practical experience with at least one major cloud (AWS, Azure, or GCP) and with vector databases such as Pinecone, Weaviate, pgvector, or similar. Solid data engineering fundamentals. SQL, working with messy enterprise data, building ETL pipelines, and handling structured and unstructured data. Working knowledge of model evaluation, prompt engineering, fine-tuning approaches such as LoRA and SFT, and the tradeoffs between closed and open-weight models. Familiarity with MLOps and LLMOps tooling such as MLflow, Weights and Biases, LangSmith, or similar observability stacks. Exposure to deploying in regulated environments (financial services, healthcare, public sector) is a strong plus. Prior experience as a Forward Deployed Engineer, Solutions Architect, or Applied AI Engineer for a client. Contributions to open-source AI projects or a public portfolio of GenAI work. Experience building agentic systems in production, including tool use, multi-agent orchestration, and human-in-the-loop design. Your Profile Hands-on engineering experience, with building something real with LLMs, RAG, agents, or GenAI applications. Substantial hobby projects count. Strong Python. Comfortable with LangChain, LlamaIndex, LangGraph, DSPy, or equivalents, and clear on when to use them versus when to write plain code. Practical experience with at least one major cloud (AWS, Azure, or GCP) and with vector databases such as Pinecone, Weaviate, pgvector, or similar. What you''ll love about working here At Capgemini, you can work on cutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges.

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