Proficiency developing clean modular and efficient code with Python Hands-on experience with GCP for AI/ML workloads; exposure to BigQuery, Firebase, and Vertex AI Working knowledge of Google Gemini, OpenAI, and Anthropic APIs Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot) Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints