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Applied AI Engineer

Bright Vision Technologies•United States•🌍 Remote
Full-timeSenior
$130k - $180k
per year
👁️ 0 views•📝 0 applications•Posted 9/25/2026•Expires 11/24/2026
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Job Description

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: $130,000–$180,000 Annually (based on experience) Experience Required: 10+ 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 a highly experienced Applied AI Engineer with 10+ years of experience in Artificial Intelligence, Machine Learning, and Deep Learning to design, develop, and deploy enterprise-scale AI solutions.

The ideal candidate will possess deep expertise in Python, PyTorch or JAX, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, and MLOps , with a proven track record of taking AI models from research to production.

This role requires strong technical leadership, hands-on development, and the ability to architect scalable, secure, and high-performance AI systems.

Key Responsibilities

Design, develop, and deploy production-grade AI and machine learning solutions that address complex business challenges. Architect scalable training, inference, and MLOps pipelines for enterprise AI applications.

Develop, fine-tune, evaluate, and optimize Large Language Models (LLMs) , deep learning models, and multimodal AI systems. Build AI applications leveraging Retrieval-Augmented Generation (RAG) , vector databases, embeddings, prompt engineering, and agentic AI frameworks.

Design and implement machine learning pipelines for NLP, Computer Vision, recommendation systems, and predictive analytics. Optimize model performance, latency, s

Required Skills

Deep LearningLeadershipMachine LearningNLPPythonPyTorchSoftware Engineering

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