Capgemini
Azure GenAI Developer
Capgemini, Lansing, Michigan, United States,
We are seeking a highly skilled Azure Generative AI Developer to join our innovative team. The ideal candidate will have hands-on experience with Azure's Generative AI tools, such as Azure OpenAI, LangChain or LLamaIndex, and Azure AI services like Search, Vision, and Language. A deep understanding of Large Language Models (LLMs), concepts such as Retrieval-Augmented Generation (RAG), fine-tuning of models, and strong technical expertise in Python and .NET are required. Knowledge of Azure Cloud infrastructure and services is also crucial for this role. Experience with GitHub Copilot for enhancing development efficiency is helpful.Key Responsibilities:
• Develop, fine-tune, and deploy LLMs using Azure OpenAI and other Azure AI services.• Implement solutions using frameworks such as LangChain or LLamaIndex for handling AI workflows.• Integrate Azure AI services like Azure AI Search, Vision, and Language to build scalable AI-driven applications.• Collaborate with multi-functional teams to design and develop AI-driven solutions for business use cases.• Apply Retrieval-Augmented Generation (RAG) techniques for enhanced knowledge retrieval and response generation.• Build, train, and fine-tune custom models to meet specific enterprise requirements.• Ensure solutions are aligned with standard processes in security, scalability, and performance in the Azure cloud.• Work with Azure cloud infrastructure (e.g., storage, networking, and compute services) to handle and optimize AI solutions.• Write and maintain code using Python and .NET for integration with existing applications.• Use GitHub Copilot to assist in code generation, optimization, and increase development efficiency.Required Skills:
• Strong experience with Azure OpenAI and its APIs.• Experience with LangChain or LLamaIndex frameworks for AI workflow management.• Proficiency in Azure AI services (Vision, Language, Search, etc.).• Proven understanding of Large Language Models (LLMs) and concepts like RAG and fine-tuning.• Proficiency in Python and .NET for development and integration of AI solutions.• Proven understanding of Azure cloud infrastructure, including storage, networking, compute services, and Azure DevOps.• Familiarity with GitHub Copilot for code generation and development automation.• Experience with version control systems like Git, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes).• Ability to translate business requirements into AI-driven solutions.• Azure certifications such as Microsoft Certified: Azure AI Engineer Associate.
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• Develop, fine-tune, and deploy LLMs using Azure OpenAI and other Azure AI services.• Implement solutions using frameworks such as LangChain or LLamaIndex for handling AI workflows.• Integrate Azure AI services like Azure AI Search, Vision, and Language to build scalable AI-driven applications.• Collaborate with multi-functional teams to design and develop AI-driven solutions for business use cases.• Apply Retrieval-Augmented Generation (RAG) techniques for enhanced knowledge retrieval and response generation.• Build, train, and fine-tune custom models to meet specific enterprise requirements.• Ensure solutions are aligned with standard processes in security, scalability, and performance in the Azure cloud.• Work with Azure cloud infrastructure (e.g., storage, networking, and compute services) to handle and optimize AI solutions.• Write and maintain code using Python and .NET for integration with existing applications.• Use GitHub Copilot to assist in code generation, optimization, and increase development efficiency.Required Skills:
• Strong experience with Azure OpenAI and its APIs.• Experience with LangChain or LLamaIndex frameworks for AI workflow management.• Proficiency in Azure AI services (Vision, Language, Search, etc.).• Proven understanding of Large Language Models (LLMs) and concepts like RAG and fine-tuning.• Proficiency in Python and .NET for development and integration of AI solutions.• Proven understanding of Azure cloud infrastructure, including storage, networking, compute services, and Azure DevOps.• Familiarity with GitHub Copilot for code generation and development automation.• Experience with version control systems like Git, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes).• Ability to translate business requirements into AI-driven solutions.• Azure certifications such as Microsoft Certified: Azure AI Engineer Associate.
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