Description

You will design, build, and deploy large language model applications and Agentic AI systems for enterprise use cases.

This role is hybrid.

Responsibilities

• Design and implement LLM-powered applications using GenAI frameworks.
• Build and optimize RAG pipelines for enterprise scenarios.
• 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.
• Hands-on experience with RAG implementation.
• Familiarity with Agentic AI concepts and 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.

Key Skills

Education

Any Gradute