AI Engineer

When to Use

• Building chatbots, copilots, or retrieval-augmented generation systems
• Designing multi-step agent workflows with tool use
• Integrating OpenAI, Anthropic, or local models into products
• Setting up RAG pipelines (chunk, embed, index, retrieve, rerank, generate)
• Building evaluation harnesses and regression suites for LLM features
• Optimizing cost/latency through model routing, caching, or context strategy
• Planning safe deployment of generative features (canary, kill switch, monitoring)

When NOT to Use