LLM Model Developer

The LLM Model Developer fine-tunes large language models, particularly through instruction fine-tuning and domain adaptation, to improve their relevance and performance for specific applications. The role also contributes to enterprise solutions using generative and agentic AI.

Responsibilities

• Collaborate with cross-functional teams to assess model outputs, iterate on training processes, evaluate performance and improve models for real-world use.
• Serve as a subject-matter expert, manage team delivery, make team decisions, contribute to decisions across teams and solve problems for multiple teams.
• Mentor junior team members and stay current with advances in model development.
• Help design and deliver AI solutions that automate processes and integrate intelligent insights into enterprise workflows, aligning capabilities with business objectives, scalability, responsible use and measurable value.

Requirements

• Proficiency in large language models, a strong understanding of natural language processing, and experience with model evaluation metrics and performance tuning.
• Familiarity with Python and frameworks such as TensorFlow or PyTorch; ability to work with large datasets and apply data preprocessing techniques.
• Understanding of generative and agentic AI, prompt engineering and AI evaluation frameworks.
• The posting lists 5–10 years of experience and specifies a minimum of 5 years of experience in large language models. Fifteen years of full-time education is required.

The job listing names Indore, while its additional information says the position is based at the Bengaluru office. The posting does not clarify this location discrepancy.