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!
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.
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