Description

You will be a key member of the Turing GenAI delivery organization, building and deploying LLM-based solutions for enterprise clients.

Responsibilities

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

Required Skills

  • 10+ years of professional experience building Machine Learning models & systems.
  • 1+ years of hands-on experience with LLMs and Generative AI techniques (prompt engineering, RAG, agents).
  • Expert proficiency in Python, LangChain/LangGraph, and SQL.
  • Experience with LLMs, LangGraph, RAG, Azure, GCP, and AWS.
  • Experience developing GenAI applications on at least one major cloud platform (Azure, GCP, or AWS).
  • Demonstrable understanding of how LLMs work.
  • Minimum 2 years tenure in each previous company.

Education

Any Graduate