Applied AI Engineer

About the Role

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.

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

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

Pay

$130,000–$180,000 annually (based on experience)

Schedule & Location

100% Remote (Continental United States) — Full-time, Direct W2