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 challengesArchitect scalable training, inference, and MLOps pipelines for enterprise AI applicationsDevelop, fine-tune, evaluate, and optimize Large Language Models (LLMs), deep learning models, and multimodal AI systemsBuild AI applications leveraging Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and agentic AI frameworksDesign and implement machine learning pipelines for NLP, Computer Vision, recommendation systems, and predictive analyticsOptimize model performance, latency, scalability, and infrastructure utilization across cloud and distributed computing environmentsCollaborate with data scientists, software engineers, product managers, and business stakeholders to deliver production-ready AI solutionsEstablish best practices for model evaluation, Responsible AI, governance, security, monitoring, and lifecycle managementMentor junior AI engineers and contribute to technical leadership, architecture reviews, and engineering best practicesEvaluate 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 discipline10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Applied AIExpert-level programming skills in Python with extensive experience using PyTorch, JAX, or TensorFlowProven experience developing and deploying Large Language Models (LLMs), NLP, Computer Vision, and deep learning applications in productionStrong knowledge of distributed training, GPU optimization, model serving, and production ML deploymentHands-on experience with MLOps, CI/CD pipelines, model monitoring, feature engineering, and automated ML workflowsExperience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) for AI workloadsStrong understanding of machine learning algorithms, statistics, model evaluation, experimentation, and optimization techniquesExcellent 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 FAISSHands-on experience with AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologiesExperience deploying AI applications using Kubernetes, Docker, Ray, or distributed inference frameworksPublications in AI/ML conferences, open-source contributions, patents, or recognized technical leadership in the AI communityKnowledge of Responsible AI, AI governance, model security, fairness, explainability, and regulatory compliancePh.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! Email your updated resume: jaya@bvteck.com Call or Text: (908) 505-3545 Learn more: 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. Powered by JazzHR zN65zEHjzW