AI Copilot Engineer vs AI Middleware Engineer

A AI Copilot Engineer Only

• Prompt engineering and orchestration (system prompts, few-shot, chain-of-thought, ReAct patterns)
• Retrieval-Augmented Generation (RAG) architecture including chunking, embedding, vector search, and re-ranking
• LLM API integration with OpenAI, Anthropic, Google Gemini, and open-source models via HuggingFace
• Python and TypeScript/JavaScript for building AI application backends and middleware
• Vector database management (Pinecone, Weaviate, Chroma, Qdrant, pgvector)
• Real-time streaming and SSE/WebSocket patterns for responsive AI interfaces
• Evaluation and quality assurance - building automated evals, human-in-the-loop scoring, and regression testing for LLM outputs
• Context window management, token budgeting, and cost optimization strategies