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LLM Engineer

Bright Vision Technologies•United States•🌍 Remote
Full-time7-15
$72k - $100k
per year
👁️ 0 views•📝 0 applications•Posted 8/19/2026•Expires 10/18/2026
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Job Description

LLM 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: LLM Engineer Location: 100% Remote (U. S.) Position Type: Full-time, Direct W2 Salary Range: $72,000–$100,000 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 LLM 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 s

Required Skills

Machine LearningLarge Language ModelsFine-tuning WorkflowsSupervised LearningReinforcement LearningDataset ConstructionEvaluation MethodologyTraining PipelinesCode ReviewDesign ReviewCloud SolutionsAI SolutionsData SolutionsEnterprise SolutionsCross-functional CollaborationMentorship

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