AI Cloud Engineer (LLama/OPenAI/RAG) Location: charlotte, NC Duration: 12 Months + Only w2 We are looking for an experienced engineer with the following qualifications: • Expertise in designing and implementing hybrid cloud solutions across AWS, GCP, and Azure, ensuring availability, scalability, and cost efficiency. • Proficiency in building RESTful APIs using FastAPI and Swagger for real-time LLM inference, including scalable model serving pipelines. • Experience optimizing generative AI models (LLaMA, Mistral, OpenAI GPT) and implementing RAG pipelines with Ray and VectorAI for distributed, context-aware inferencing. • Strong skills in automating infrastructure with Terraform, Ansible, and Crossplane for multi-cloud deployments. • Familiarity with MLflow, DVC, and VectorAI to support reproducible and scalable ML pipelines. • Ability to provision GPU-accelerated infrastructure to boost LLM training performance by up to 50%. • Experience using Apache Iceberg with vector databases (Milvus, Pinecone) for semantic search and dataset lineage. • Skilled in orchestrating real-time and batch data workflows using Apache Airflow, Spark, and Flink. • Knowledge of observability tools like Prometheus, Datadog, and Splunk for monitoring, logging, and alerting. • Capable of designing dashboards and metrics pipelines to deliver insights and reduce debugging time.