Senior Generative AI Engineer - Remote, Production-Ready

Bright Vision Technologies; Sunnyvale (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking a Generative AI Engineer to design, execute, and operationalize fine-tuning workflows for large language models in production. The role requires deep experience with modern training stacks, careful dataset construction, and rigorous evaluation to balance quality, compute, and speed.

You will collaborate with product, design, and engineering teams to translate complex requirements into robust, scalable solutions.

Qualifications

• Master’s or PhD in CS/ML or equivalent experience.
• Six+ years of ML research and engineering with significant LLM exposure.
• Strong proficiency in Python and modern deep learning frameworks, especially PyTorch.
• Hands-on experience fine-tuning transformer-based language models at non-trivial scale.
• Familiarity with distributed training strategies including FSDP, ZeRO, and pipeline parallelism.
• Experience with RLHF, DPO, or other preference optimization techniques.
• Strong understanding of evaluation methodology, benchmarks, and human evaluation design.
• Experience operating training jobs on GPU clusters and recovering from failures.
• Strong written and verbal communication skills.
• Track record of shipping or publishing impactful LLM work.

Responsibilities

• Design, implement, and operate fine-tuning workflows for LLMs.
• Collaborate with cross-functional teams to translate requirements into robust solutions.
• Balance data quality, compute budget, evaluation rigor, and shipping velocity.
• Mentor junior engineers and contribute to code and design reviews.

Skills

Python

PyTorch

LLM exposure

Fine-tuning

Distributed training

RLHF/DPO

Evaluation design

GPU clusters

Communication

Production engineering

Education

MS/PhD in CS/ML

Equivalent experience

Tools

PyTorch

Transformers

FSDP

ZeRO

Job description

Bright Vision Technologies is seeking a Generative AI Engineer to design, execute, and operationalize fine-tuning workflows for large language models in production. The role requires deep experience with modern training stacks, careful dataset construction, and rigorous evaluation to balance quality, compute, and speed.

You will collaborate with product, design, and engineering teams to translate complex requirements into robust, scalable solutions.