Bright Vision Technologies is seeking an LLM Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. This fully remote, U.S.-based role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, balancing data quality, compute budgets, evaluation rigor, and shipping velocity. You will work closely with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions and mentor junior engineers in best practices.

Bright Vision Technologies is seeking an LLM Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. This fully remote, U.S.-based role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation, and the engineering discipline to operate complex training pipelines reliably. The ideal candidate combines strong ML intuition with production-grade engineering practices, balancing data quality, compute budgets, evaluation rigor, and shipping velocity. You will work closely with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions and mentor junior engineers in best practices.