Azure+GenAI professional

Capgemini

4 - 7 years

5 - 9 Lacs

bengaluru

Posted:21 hours ago| Platform:

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Skills Required

ai model insurance rest telemedicine python deployment tools generative ai ai solutions ai research cloud memory management apis optimization use cases collaboration ethical ai ai services programming ai models azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

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)
Experience with REST APIs, SDKs, and integration of AI services into applications
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 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 on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.

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