Company Name

Capgemini Technology Services India Limited ( Bangalore )

Job Description

• Job Description:

  We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. You will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems, leveraging deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering.

  Key Responsibilities:

  Multi-Agent System Development:

  • Design and develop generative AI-based multi-agent systems that collaborate, communicate, and coordinate to achieve complex objectives
  • Architect sophisticated AI ecosystems with multiple intelligent agents working together
  • Implement efficient knowledge sharing mechanisms between AI agents
  • Create robust evaluation frameworks to measure and improve multi-agent system performance

  AI Model Development & Optimization:

  • Build, train, and fine-tune generative AI models for various applications within multi-agent systems
  • Develop and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources
  • Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication
  • Push the boundaries of artificial intelligence through cutting-edge solutions

  Technical Architecture & Implementation:

  • Design complex AI architectures for multi-agent collaboration
  • Optimize system performance and scalability
  • Integrate external data sources and knowledge bases
  • Ensure robust inter-agent communication protocols

  Key Skills Required:

  Core Technical Skills:

  • Multi-Agent AI Systems: Design, development, and optimization
  • Generative AI: Deep expertise in generative AI models and applications
  • RAG (Retrieval-Augmented Generation): Implementation and optimization
  • Prompt Engineering: Advanced strategies for AI optimization
  • Machine Learning: Model building, training, and fine-tuning
  • AI Architecture: Complex system design and implementation

  Specialized Knowledge:

  • Knowledge base integration and management
  • Inter-agent communication protocols
  • AI collaboration frameworks
  • Performance evaluation methodologies
  • Data science and analytics

  Professional Skills:

  • Problem-solving for sophisticated AI challenges
  • Research and development capabilities
  • Technical documentation and communication
  • Innovation and boundary-pushing mindset

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