Generative AI Engineer

About the role

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.

How to Apply

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

Bright Vision Technologies is an Equal Opportunity Employer.

Posting text as published by Brightvisiontechnologies.

The evidence behind this listing

Workplace

Remote Matched in posting text

Seniority

Not established

Employment type

full time

Location as listed

LA — Artesia / Cerritos, CA, United States

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established