Generative AI Engineer

Bright Vision Technologies; Redwood City (CA); On-site; USD 90,000 - 115,000; Full time

Job summary

Bright Vision Technologies is seeking a Generative AI Engineer for a fully remote role within the United States. You will design and operationalize fine-tuning workflows for large language models, collaborating with product and engineering teams to deliver robust, production-grade ML solutions.

The ideal candidate has 6+ years of ML experience, deep knowledge of Python and PyTorch, and hands-on experience with transformer fine-tuning at scale.

Qualifications

• Master's or PhD in Computer Science, ML, or related field, or equivalent experience.
• Minimum 6+ years of ML research and engineering experience with LLM exposure.
• Strong proficiency in Python and PyTorch, with production-grade practices.
• Hands-on experience fine-tuning transformer-based language models at scale.
• Familiar with distributed training (FSDP, ZeRO, pipeline parallelism).
• Experience with RLHF/DPO or related preference optimization techniques.
• Solid evaluation methodologies, benchmarks, and human evaluation design.
• Experience operating GPU-based training pipelines and handling failures.
• Clear communication and track record of shipping impactful LLM work.

Responsibilities

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

Skills

Python

PyTorch

Transformer fine-tuning

Distributed training

RLHF/DPO

Evaluation methods

GPU training

Communication skills

LLM work impact

6+ years ML exp

Education

Master's/PhD in CS/ML

Tools

Multimodal fine-tuning

Synthetic data generation

Open-source contributions

Responsible AI evaluation

Job description

Generative AI 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: Generative AI Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $90,000–$115,000 Annually

Experience Required: 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 Generative AI 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

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies is an Equal Opportunity Employer.

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 expresses 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.