Java (and possibly other JVM-based languages) for enterprise-grade systems, comfortable with Python for AI/ML workflows (e.g., PyTorch), and proficient in cloud deployment strategies.
Beyond that, you’ll integrate LLM APIs (OpenAI, Anthropic, Cohere, etc.), leverage retrieval-augmented generation (RAG) frameworks, and decide when to fine-tune models or use them as-is.
As a power user of AI-based tools, you’ll be expected to optimize your own coding through AI assistants, while also guiding best practices for prompt engineering, LLM orchestration, and system reliability.