Applied AI Engineer

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, scalability, and infrastructure utilization across cloud and distributed computing environments • Collaborate with data scientists, software engineers, product managers, and business stakeholders to deliver production-ready AI solutions • Establish best practices for model evaluation, Responsible AI, governance, security, monitoring, and lifecycle management • Mentor junior AI engineers and contribute to technical leadership, architecture reviews, and engineering best practices • Evaluate emerging AI technologies, foundation models, and frameworks to drive continuous innovation Required Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline • 10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Applied AI • Expert-level programming skills in Python with extensive experience using PyTorch, JAX, or TensorFlow • Proven experience developing and deploying Large Language Models (LLMs), NLP, Computer Vision, and deep learning applications in production • Strong knowledge of distributed training, GPU optimization, model serving, and production ML deployment • Hands-on experience with MLOps, CI/CD pipelines, model monitoring, feature engineering, and automated ML workflows • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) for AI workloads • Strong understanding of machine learning algorithms, statistics, model evaluation, experimentation, and optimization techniques • Excellent problem-solving, communication, collaboration, and technical leadership skills Preferred Qualifications • Experience with LLM fine-tuning, Retrieval-Augmented Generation (RAG), agentic AI, multimodal AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS • Hands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologies • Experience deploying AI applications using Kubernetes, Docker, Ray, or distributed inference frameworks • Publications in AI/ML conferences, open-source contributions, patents, or recognized technical leadership in the AI community • Knowledge of Responsible AI, AI governance, model security, fairness, explainability, and regulatory compliance • Ph.D. or Master's degree with a specialization in Artificial Intelligence, Machine Learning, Computer Vision, or Natural Language Processing Interested in this opportunity? Apply today for immediate consideration! Call or Text: (908) 505-3545 Learn more: www.bvteck.com