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.