Senior LLM Engineer - Remote Finetuning & Pipelines

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

Job summary

Bright Vision Technologies is seeking an LLM Engineer to design, execute, and operationalize fine-tuning workflows for large language models in a remote setting. You will work with cross-functional partners to translate ambiguous requirements into production-ready solutions and will raise the bar through code reviews and mentorship.

The ideal candidate has a strong ML background, production-grade engineering practices, and a track record of shipping meaningful LLM work, with hands-on experience

Qualifications

• Master’s or PhD in CS/ML or equivalent experience.
• 6+ years of ML research and engineering with LLM exposure.
• Proficiency in Python and PyTorch.
• Experience fine-tuning transformer LLMs at scale.
• Experience with RLHF, DPO, or preference optimization techniques.
• Experience operating training jobs on GPU clusters.
• Strong written and verbal communication skills.
• Track record of shipping or publishing impactful LLM work.

Responsibilities

• Design and execute fine-tuning experiments for large language models using supervised, DPO, RLHF, and related techniques.
• Lead dataset construction, curation, and quality assurance processes for instruction tuning and preference data.
• Build scalable training pipelines on top of modern distributed training frameworks.
• Tune hyperparameters, optimizer configurations, and training stability strategies for large-model fine-tuning.
• Implement parameter-efficient fine-tuning techniques such as LoRA, QLoRA, and adapter-based methods.
• Design rigorous evaluation suites including automated benchmarks, human evaluation, and capability-specific probes.
• Implement safety, refusal, and policy evaluations to track model behavior across releases.
• Operate large-scale training jobs on GPU clusters, diagnosing failures and recovering training state reliably.
• Optimize training throughput using mixed precision, sequence packing, and efficient attention implementations.
• Manage model artifacts, lineage tracking, and reproducibility across many concurrent experiments.
• Collaborate with product, research, and platform teams to align fine-tuning roadmaps with business needs.
• Document training methodology, results, and decisions clearly for technical and non-technical audiences.
• Mentor engineers on fine-tuning best practices, evaluation rigor, and responsible deployment.
• Stay current with LLM research and translate advances into production-ready fine-tuning recipes.

Skills

Python

PyTorch

LLM fine-tuning

Distributed training

RLHF / DPO

Evaluation design

Technical communication

Education

Master's or PhD in CS/ML

Equivalent experience

Tools

FSDP

ZeRO

Pipeline parallelism

Job description

Bright Vision Technologies is seeking an LLM Engineer to design, execute, and operationalize fine-tuning workflows for large language models in a remote setting. You will work with cross-functional partners to translate ambiguous requirements into production-ready solutions and will raise the bar through code reviews and mentorship.

The ideal candidate has a strong ML background, production-grade engineering practices, and a track record of shipping meaningful LLM work, with hands-on experience