Generative AI Engineer

Generative AI Engineers build applications using large language models, image generation, and other generative AI technologies. They work on products like AI assistants, content generators, code completion, and creative tools.

Key Responsibilities: • Build applications with GPT-4, Claude, and other LLMs • Implement retrieval-augmented generation (RAG) systems • Fine-tune generative models for specific domains • Design prompt engineering frameworks • Optimize generation quality and latency • Integrate generative AI into product features

Required Skills: Large language models, GPT-4/Claude APIs, prompt engineering, RAG systems, vector databases, LangChain, embeddings, fine-tuning, Python, API design, cost optimization, safety guardrails

Career Path: Junior generative AI engineers build basic LLM applications. Mid-level engineers design complex generative systems. Senior engineers architect generative AI platforms. Principal engineers set generative AI strategy.

Top Hiring Companies: OpenAI, Anthropic, Microsoft (GitHub Copilot), Google (Gemini), Jasper AI, Copy.ai, Notion, Figma, Canva, Adobe, Character.AI, Midjourney