Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions. The company is seeking an experienced Applied AI Engineer to design, develop, deploy, and architect scalable enterprise AI systems, including large language models, deep learning, NLP, computer vision, and MLOps solutions. The role also involves technical leadership, collaboration, mentoring, and establishing responsible AI and model lifecycle best practices.
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
- 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
- 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
Benefits
- 100% Remote (Continental United States)
- Full-time, Direct W2
Company Overview