AI Applications Engineer

Bright Vision Technologies; Wesley Chapel (FL); Remote; USD 100,000 - 175,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Applications Engineer to design, execute, and operationalize fine-tuning workflows for large language models across supervised, preference-based, and reinforcement learning approaches. This remote role requires production-grade engineering practices and strong collaboration with product, design, and operations teams.

The ideal candidate has 6+ years of ML research and engineering, deep knowledge of Python and PyTorch, and hands-on experience with

Qualifications

• Six or more years of ML research and engineering experience.
• Strong Python and PyTorch proficiency.
• Hands-on experience fine-tuning transformer models at scale.
• Familiar with distributed training strategies (FSDP, ZeRO, pipeline parallelism).
• Experience with RLHF, DPO or related preference optimization techniques.
• Solid evaluation methodology, benchmarks, and human evaluation design.
• Experience running training jobs on GPU clusters and recovering from failures.
• Excellent written and verbal communication skills.
• Proven track record of shipping or publishing impactful LLM work.

Responsibilities

• Design, execute, and operationalize fine-tuning workflows for LLMs.
• Collaborate with product, design, and engineering to translate requirements into robust solutions.
• Balance data quality, compute budgets, evaluation rigor, and shipping velocity.
• Contribute to code reviews, design reviews, and mentorship of junior engineers.
• Ship meaningful LLM work with production-grade reliability.

Skills

Python

PyTorch

LLM fine-tuning

Distributed training

RLHF / DPO

Evaluation methodology

GPU clusters

Communication skills

Shipping LLM work

Education

Master’s or PhD in Computer Science, ML or related field

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 CardHolders, EADHolders, 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 Engineerto 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.

Equal Employment Opportunity (EEO) Statement

Bright 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.