Generative AI Engineer

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: $100,000–$150,000 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

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com

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.

Powered by JazzHR

yFSVDiGc6v