Applied AI Engineer

Bright Vision Technologies; Alpharetta (GA); Remote; USD 130,000 - 180,000; Full time

Job summary

Bright Vision Technologies is seeking an experienced Applied AI Engineer with 10+ years in AI/ML to design, develop, and deploy enterprise-scale AI solutions. You will lead architecture for scalable training, inference, and MLOps pipelines, building LLM, NLP, CV, and multimodal AI systems for production use.

The role requires deep expertise in Python, PyTorch/JAX/TF, and experience with RAG, embeddings, and agentic AI frameworks.

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.

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.

Skills

Python

PyTorch/JAX/TF

LLMs/NLP/CV

MLOps

Cloud platforms

Education

Bachelor's or Master's degree

Tools

AI frameworks

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, 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.

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 expresses prohibitions on 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.