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    Bright Vision Technologies

    Applied AI Engineer

    Bright Vision Technologies
    Full-time
    Verified Remote
    RemoteUSD 100,000 - 150,000Data ScienceToday

    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: Applied AI Engineer Location: 100% Remote (Continental United States) 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 seeking an Applied AI Engineer to design, develop, and deploy production-ready AI and machine learning solutions. The ideal candidate will have expertise in Python, PyTorch or JAX, deep learning, LLMs, computer vision, NLP, and ML pipelines, with experience taking AI models from research to production while optimizing performance, scalability, and reliability.

    Key Responsibilities:

    • Design, build, and deploy AI/ML solutions for real-world business problems.

    • Develop and optimize training and inference pipelines.

    • Train, fine-tune, and evaluate deep learning and LLM models.

    • Collaborate with cross-functional teams to deliver scalable AI applications.

    • Monitor model performance, data quality, and production reliability.

    • Document solutions and contribute to AI best practices.

    Required Qualifications:

    • 6+ years of experience in applied AI, machine learning, or deep learning.

    • Strong proficiency in Python and PyTorch or JAX.

    • Experience with LLMs, NLP, computer vision, distributed training, and ML deployment.

    • Strong understanding of machine learning, statistics, and model evaluation.

    Preferred Qualifications:

    • Experience with LLM fine-tuning, RAG, agentic AI, or multimodal AI.

    • Publications, open-source ML contributions, or experience with Responsible AI.

    Interested in this opportunity? Apply today for immediate consideration!

    Email your updated resume:

    Call or Text: (908) 505-3545

    Learn more:

    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.

    Hiring remote talent?

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