Generative AI System Development

A Generative AI Expert designs, develops, and deploys AI systems that can generate content such as text, images, code, audio, and video using advanced models like LLMs (Large Language Models) and diffusion models.

They work with technologies such as OpenAI APIs, Google AI, Microsoft Azure AI, and open-source frameworks like Hugging Face.

Key Responsibilities
Develop AI-powered applications using LLMs (GPT, Claude, Gemini etc.)
Fine-tune models using domain-specific data
Build prompt engineering strategies
Implement RAG (Retrieval-Augmented Generation)
Deploy AI models using cloud platforms (AWS, Azure, GCP)
Optimize AI performance, latency, and cost
Ensure AI ethics, bias mitigation, and data privacy compliance
Integrate AI with web/mobile applications via APIs

Required Skills
Technical Skills
Python (must)
Machine Learning & Deep Learning
NLP (Natural Language Processing)
Transformers & LLM architecture
Prompt Engineering
LangChain / LlamaIndex
Vector Databases (Pinecone, FAISS)
API Integration
Docker & Cloud Deployment

Tools & Platforms
OpenAI API
Hugging Face
TensorFlow / PyTorch
Azure AI Studio
AWS Bedrock