AI Applications Engineer

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

AI Applications Engineer - Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: AI Applications Engineer. Location: 100% Remote (United States). Position Type: Full-time, Direct W2. Salary Range: $100,000-$175,000 Annually. Experience: 6+ years. Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are looking for an AI Applications Engineer to design, execute, 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. The ideal candidate combines strong ML intuition with production-grade engineering practices, and is comfortable navigating the trade-offs between data quality, compute budget, evaluation rigor, and shipping velocity. In this role you will work closely with cross-functional partners - product, design, engineering, operations, and business stakeholders - to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Required 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.

Preferred Qualifications

• Publications at top-tier ML venues.
• Experience with multimodal model fine-tuning.
• Familiarity with synthetic data generation and dataset distillation.
• Open-source contributions to LLM training libraries.
• Exposure to responsible AI evaluation and red-teaming practices.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) StatementBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.