Description

You will develop and deploy advanced Generative AI solutions for enterprise clients.

Responsibilities

• Lead the design, training, fine-tuning, and deployment of large language models using prompt engineering, RAG, and agent-based architectures.
• Maintain high-quality, scalable code in Python (LangChain/LangGraph) and SQL, focusing on reusable components.
• Deploy GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resources and CI/CD processes.
• Collaborate with product owners and business SMEs to define requirements and deliver impactful AI products.
• Provide technical leadership and mentor the engineering team on ML and LLM development best practices.

Required Skills

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

Key Skills

Education

Any Graduate