Languages: Python, SQLAI/ML: Scikit-learn, PyTorch, TensorFlow, Hugging FaceGenerative AI: LLMs, RAG, Prompt Engineering, Embeddings, Vector Search, LLM EvaluationAI Orchestration: LangChain, LlamaIndex, Semantic Kernel or comparable frameworksCloud: AWS and/or AzureDevelopment: REST APIs, Git, CI/CD, DockerData: SQL databases, APIs, document repositories, structured and unstructured dataMethodology: Agile/Scrum, MLOps/LLMOps, DevSecOps. They should be comfortable writing production-quality Python, working with data, building and evaluating ML/LLM solutions, implementing RAG pipelines, developing AI APIs, and collaborating with application and cloud engineering teams to move AI capabilities from prototype into secure production environments.