Description

You will design, train, and deploy Generative AI solutions for enterprise clients using large language models and cloud infrastructure.

This role is hybrid.

Responsibilities

• Lead the design, training, and fine-tuning of LLMs using prompt engineering, RAG, and agent-based architectures.
• Develop scalable, reusable components in Python (LangChain/LangGraph) and SQL.
• Deploy GenAI applications on Azure, GCP, or AWS while optimizing resources and CI/CD processes.
• Collaborate with product owners and business SMEs to define requirements and deliver AI products.
• Mentor the engineering team on ML and LLM development best practices.

Required Skills

• 10+ years of professional experience building Machine Learning models and systems.
• 3+ years of hands-on experience with LLMs and Generative AI, including prompt engineering, RAG, and agents.
• Expert proficiency in Python, LangChain, LangGraph, and SQL.
• Experience deploying GenAI applications on Azure, GCP, or AWS.
• Strong understanding of LLM architectures and GenAI principles.

Key Skills

Education

Any Graduate