This full-time LLM Fine-Tuning Engineer role is based within Bright Vision Technologies' in-house engineering team, operating 100% remotely across the continental United States. The position focuses on designing and executing fine-tuning workflows for large language models using techniques such as RLHF, DPO, and parameter-efficient methods like LoRA. Key responsibilities include building scalable distributed training pipelines, curating high-quality datasets, implementing rigorous evaluation suites, and optimizing GPU cluster performance for production environments. The role appeals to candidates seeking a direct W2 engagement with long-term stability, offering significant career growth within a forward-thinking organization. It provides the opportunity to mentor junior engineers, collaborate across cross-functional teams, and translate cutting-edge research into reliable, scalable solutions without third-party constraints.
