Azure+GenAI

9 Minutes ago • All levels
Research Development

Job Description

Capgemini is seeking an experienced professional for an Azure+GenAI role in Bangalore. The role involves working with generative AI models, prompt engineering, and developing AI agents using frameworks like LangChain and Crew AI. Candidates should be proficient in Azure AI Services, including Azure OpenAI and Azure AI Search, and have experience with model tuning, RAG pipelines, and Python programming for AI integration. The position focuses on leveraging technology to unlock value for clients and build a sustainable world.
Good To Have:
  • 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.
Must Have:
  • Proven hands-on experience with generative AI models (GPT, LLaMA, Claude, etc.).
  • Strong understanding of prompt engineering (role-based, context-aware, instruction tuning, optimization).
  • Experience building and orchestrating AI agents using LangChain, Crew AI, Semantic Kernel.
  • Proficiency in Azure AI Services: Azure OpenAI, Azure AI Search, Azure Speech Services, Azure AI Studio/Hub/Foundry.
  • Experience deploying and managing AI solutions on Azure, including model hosting, scaling, and monitoring.
  • 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.
  • Proficiency in Python and AI/ML libraries (Transformers, LangChain, OpenAI SDK).
  • Experience with REST APIs, SDKs, and integration of AI services into applications.
  • Ability to evaluate AI model outputs using performance metrics and user feedback.
  • Skilled in iterative improvement of AI systems for accuracy, relevance, and safety.
Perks:
  • Opportunity to shape your career with a range of career paths and internal opportunities.
  • Personalized career guidance from leaders.
  • Comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups.
  • Elder care, partner coverage, or new parent support via flexible work.
  • Opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.

Add these skills to join the top 1% applicants for this job

performance-analysis
game-texts
azure
model-deployment
python

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 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.

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