Description

This role focuses on developing and deploying large language model applications.

Responsibilities

  • Design and implement LLM-powered applications using GenAI frameworks.
  • Build and optimize RAG pipelines for enterprise use cases.
  • Develop Agentic AI systems and multi-agent workflows.
  • Integrate LLMs with external data sources and APIs.
  • Develop scalable backend services using Python.

Required Skills

  • 12+ years of professional experience.
  • Proficiency in Python.
  • Experience with Rag implementation.
  • Familiarity with Agentic AI concepts.
  • Knowledge of LLM Engineer principles.
  • Experience with AWS, Azure, or GCP.
  • Understanding of MLOps practices.
  • Hands-on experience with real-time AI applications or chatbots.

Preferred Skills

  • Experience building AI Agents or Autonomous Systems.
  • Strong understanding of NLP and Machine Learning concepts.

Education

Any Gradute