What is Generative AI Engineering?

What is Generative AI Engineering?

GenAI Engineering builds production applications powered by large language models. It covers system design, API integration, RAG, agents, evaluation, safety, and cost management.

• Integrating LLM APIs into real applications
• Building RAG pipelines, chatbots, and agents
• Evaluating and monitoring AI output quality
• Managing cost, latency, and reliability at scale
• Fine-tuning models for specific domains

# Core GenAI Engineering stack
Prompt Engineering  -- shape LLM inputs
LLM APIs           -- Anthropic, OpenAI, Gemini
Embeddings         -- semantic vector representations
Vector Databases   -- Pinecone, Chroma, Qdrant
RAG Pipeline       -- retrieval-augmented generation
Agent Frameworks   -- LangChain, LlamaIndex, LangGraph
Evaluation         -- RAGAS, DeepEval, LLM-as-judge
Observability      -- Langfuse, LangSmith, custom logging
Fine-tuning        -- LoRA, QLoRA, OpenAI fine-tune