Remote AI Applications Engineer — LLM Deployment & Production ML

Bright Vision Technologies; Reston (VA); Remote; USD 100,000 - 175,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Applications Engineer to design and operationalize fine‑tuning workflows for large language models, across supervised, preference‑based, and reinforcement learning approaches.

The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably.

Qualifications

• Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience.
• Six or more years of combined ML research and engineering experience, 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 optimize fine-tuning workflows for large language models.
• Collaborate with product, design, and engineering to translate requirements into scalable ML solutions.
• Maintain and improve production-grade training pipelines with robust evaluation and monitoring.

Skills

Python

PyTorch

ML engineering

LLM fine-tuning

Distributed training

RLHF/DPO

Evaluation methods

GPU clusters

communication

shipping LLM work

Education

Master’s or PhD in CS/ML or related field

Tools

FSDP

ZeRO

Pipeline parallelism

Job description

Bright Vision Technologies is seeking an AI Applications Engineer to design and operationalize fine‑tuning workflows for large language models, across supervised, preference‑based, and reinforcement learning approaches.

The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably.