Azure+genai

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**:

- Proven hands-on experience working with generative AI models (e.g., GPT, LLaMA, Claude, etc.).- Strong understanding of prompt engineering, including: Role-based prompting, Context-aware prompting, Instruction tuning for AI agents, Prompt optimization for performance and relevance
- AI Agent Development:

- Experience building and orchestrating AI agents using frameworks such as:LangChain, Crew AI ,Semantic Kernel
- Knowledge of agentic AI concepts, including tool usage, memory management, and multi-agent collaboration.
- Familiarity with integrating external tools and APIs into agent workflows.
- Azure AI Services:

- Proficient in leveraging Azure AI Services, including:

- Azure OpenAI
- Azure AI Search (formerly Cognitive Search)
- Azure Speech Services (speech-to-text, text-to-speech, translation)
- Azure AI Studio / AI Hub
- Azure AI Foundry for model experimentation and deployment
- Experience deploying and managing AI solutions on Azure, including model hosting, scaling, and monitoring.
- Model Tuning & Retrieval-Augmented Generation (RAG):

- Experience fine-tuning models and instructions for specific use cases.
- Implementing RAG pipelines to enhance model responses using enterprise data.
- Knowledge of vector databases and embedding models for semantic search.
- Programming & Integration:

- Proficiency in Python and familiarity with AI/ML libraries (e.g., Transformers, LangChain, OpenAI SDK).
- Analytical & Optimization Skills:

- Ability to evaluate AI model outputs using performance metrics and user feedback.
- Skilled in iterative improvement of AI systems for accuracy, relevance, and safety.

**Your Profile**:

- Experience with prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation).
- Knowledge of vector databases and model deployment tools (e.g., ONNX, TorchServe).
- Contributions to open-source AI projects or published research.Awareness of ethical AI practices and generative model safety.

**What You'll Love about working here**:

- 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. 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.