at Capgemini
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**Cloud AI Engineer | Capgemini** - Build AI applications (LLMs, RAG, agents), hands-on experience or substantial projects required - Python fluent, use AI toolkits (LangChain, LlamaIndex), cloud platforms (AWS, Azure, GCP) and vector databases - Data engineering skills: SQL, ETL pipelines, structured/unstructured data; model evaluation, fine-tuning, and MLOpsètLLMOpseks - Deployments in regulated environments and exposure to AI projects preferred - Previous roles: Forward Deployed Engineer, Solutions Architect, or Applied AI Engineer - Contribute to open-source AI projects and build agentic systems
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
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 by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
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
We offer a range of career paths and internal opportunities within Capgemini group.
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.
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
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.
Make it real | www.capgemini.com
