TC-CS-IAM-AI and Agentic AI Engineer

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Bengaluru, India 5 Years Exp Posted 63d ago

Job Description

  • Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners
  • Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources
  • Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques
  • Ability to identify needs and opportunities for advancements in innovations, processes and automation
  • Able to work proactively and take initiative without being specifically directed
  • Ability to extract & aggregate data from disparate data sources
  • Agentic AI Development: Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries.
  • Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.
  • RAG Pipelines: Implement and optimize RAG systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
  • LLM Engineering: Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation. Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.
  • Enterprise AI Platform: Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.
  • Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.
  • MLOps & Observability: Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.

 

  • Ability to perform in depth data analysis including but not limited to
    • Machine Learning
    • Classification
    • Optimization
    • Time Series analysis
    • Pattern Recognition
  • Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc)
  • Ability to communicate complex topics in an easy-to-understand manner when presenting to management
    • Ability to visualize data and intelligence in easy-to-understand story telling

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