Description

You will lead the design and implementation of advanced Generative AI solutions.

Responsibilities

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

Required Skills

• 10+ years of professional experience in building Machine Learning models and systems.
• 2+ 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: Azure, GCP, or AWS for GenAI application deployment.
• Understanding of CI/CD Processes.
• Ability to collaborate effectively with business SMEs.

Key Skills

Education

Any Graduate