GenAI Expert
Core
Leading the design, development, and implementation of Generative AI solutions (AI agents, RAG systems, chatbots) to improve business processes and customer experience.
Role type
Senior Generative AI Architect and Engineer
Builds
Autonomous multi-agent systems, advanced RAG pipelines, and integrated GenAI solutions for enterprise applications
Domain
Generative AI, Large Language Models (LLMs), and Enterprise Software
Deliverable
production ML models
Required skills
Python, LangChain, LlamaIndex, LangGraph, Vector Databases (Pinecone, Weaviate, Milvus, Qdrant), Transformers architecture, Context Window management, API integration
Preferred skills
Model Fine-tuning (PEFT/LoRA), Quantization, PyTorch, TensorFlow, Kubernetes, Distributed Systems, GPU Cloud
Technologies
Python, FastAPI, Pydantic, LangChain, LlamaIndex, LangGraph, Pinecone, Weaviate, Milvus, Qdrant, PyTorch, TensorFlow, Kubernetes
Responsibilities
Define tech stack and architecture for organizational GenAI solutions; Design and implement complex autonomous multi-agent systems; Build advanced RAG data pipelines with Hybrid Search and Re-ranking; Establish governance standards for security, privacy, and hallucination prevention; Integrate AI models with existing legacy enterprise systems via APIs
