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    Bright Vision Technologies

    NLP AI Engineer

    Bright Vision Technologies
    Full-time
    Verified Remote
    RemoteUSD 100,000 - 150,000AI TrainingToday

    About this role

    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: NLP 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

    Bright Vision Technologies is seeking an experienced NLP AI Engineer to design, fine-tune, and deploy Large Language Models (LLMs). The ideal candidate will have expertise in LLM fine-tuning, PyTorch, distributed training, RLHF/DPO, and model evaluation, with experience building scalable AI solutions for production.

    Key Responsibilities

    • Fine-tune LLMs using Supervised Fine-Tuning (SFT), DPO, RLHF, LoRA, and QLoRA.

    • Build and optimize distributed training pipelines using modern ML frameworks.

    • Develop high-quality datasets and evaluation frameworks for LLM performance.

    • Manage large-scale GPU training, model optimization, and experiment tracking.

    • Implement model safety, benchmarking, and performance improvements.

    • Collaborate with cross-functional teams and mentor junior engineers.

    Required Qualifications

    • Master's or PhD in Computer Science, Machine Learning, or a related field (or equivalent experience).

    • 6+ years of ML engineering or AI research experience with LLMs.

    • Strong Python and PyTorch development skills.

    • Experience fine-tuning transformer-based language models.

    • Knowledge of distributed training (FSDP, ZeRO, pipeline parallelism).

    • Experience with RLHF, DPO, or similar preference optimization techniques.

    • Strong communication and problem-solving skills.

    Preferred Qualifications

    • Publications in top-tier ML conferences.

    • Experience with multimodal AI models.

    • Knowledge of synthetic data generation and responsible AI.

    • Open-source contributions to LLM training frameworks.

    How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer.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.

    About Bright Vision Technologies

    Bright Vision Technologies
    Bright Vision Technologies

    Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The company leverages cutting-edge technologies including large language models, AI-powered architectures, and enterprise integration platforms to create scalable, secure, and user-friendly applications. They specialize in LLM-based application architectures, prompt engineering strategies, and enterprise system integrations such as Coupa procurement solutions. The company is actively expanding its AI and machine learning capabilities while maintaining a focus on production-grade implementations across multiple business domains.

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