Applied AI Engineer at Bright Vision Technologies

Applied AI Engineer at Bright Vision TechnologiesBright Vision Technologies · United States

Pay: USD 130,000–180,000 per yearly

Workplace: Remote

Skills: Python, AWS, Docker, CI/CDBright Vision Technologies(https://himalayas.app/companies/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 TitleApplied AI EngineerLocation: 100% Remote (Continental United States) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required:10+ YearsSponsorship: 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 SummaryBright Vision Technologies(https://himalayas.app/companies/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 ResponsibilitiesDesign, 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 …truncated… with LLM fine-tuning, Retrieval-Augmented Generation (…Sign in to see the original postingBrowse more developer jobs on RoleBurst