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, and deploy enterprise-scale AI solutions, architect scalable MLOps pipelines, optimize models, and provide technical leadership across AI initiatives.
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
- Tremendous career growth potential
Company Overview