AI Insurance Underwriting Specialist vs AI Integration Engineer

B AI Integration Engineer Only

• Proficient Python and TypeScript/JavaScript for building integration layers and API services
• Deep understanding of REST and WebSocket API design, authentication flows, and rate limiting
• Prompt engineering and LLM parameter tuning (temperature, top-p, system prompts, few-shot patterns)
• RAG architecture design including chunking strategies, embedding models, and hybrid search
• Orchestration framework mastery (LangChain, LlamaIndex, Semantic Kernel, Haystack)
• Vector database operations (Pinecone, Weaviate, Qdrant, ChromaDB, pgvector)
• Cloud platform proficiency (AWS, Azure, or GCP) for deploying and scaling AI services
• Observability and cost management for AI workloads (token usage, latency budgets, error handling)