Remote AI Applications Engineer - LLM & Training Expert

Bright Vision Technologies; Oregon; Hybrid; USD 100,000 - 175,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Applications Engineer for a 100% remote role in the United States. The position demands 6+ years of experience with ML and large language models, and proficiency in Python and PyTorch.

You will design and operate fine-tuning workflows, collaborate across teams, and ensure scalable, production-grade training pipelines. The ideal candidate will balance data quality, compute budgets, and shipping velocity while mentoring junior engineers and aligning with

Qualifications

• Master's or PhD in Computer Science, ML, or related field, or equivalent experience.
• Six+ years of ML research and engineering with significant LLM exposure.
• Proficiency in Python and PyTorch.
• Hands-on fine-tuning of transformer-based language models at scale.

Responsibilities

• Design, execute, and operationalize fine-tuning workflows for large language models.
• Collaborate with product, design, and engineering to translate requirements into engineered solutions.
• Maintain production-grade training pipelines and ensure reliability and scalability.
• Mentor junior engineers and contribute to design and code reviews.

Skills

Python

PyTorch

LLM fine-tuning

Distributed training

RLHF/DPO

Evaluation methodology

GPU clusters

Communication skills

Production-grade engineering

Education

Master's or PhD in Computer Science / ML or related field

Tools

Transformers

LLM frameworks

CUDA

Job description

Bright Vision Technologies is seeking an AI Applications Engineer for a 100% remote role in the United States. The position demands 6+ years of experience with ML and large language models, and proficiency in Python and PyTorch.

You will design and operate fine-tuning workflows, collaborate across teams, and ensure scalable, production-grade training pipelines. The ideal candidate will balance data quality, compute budgets, and shipping velocity while mentoring junior engineers and aligning with