Data Scientist_5
Core
Building production-grade GenAI applications like agentic chatbots, semantic search engines, and contextual assistants for enterprise clients.
Role type
Senior IC GenAI Data Scientist (LLM & RAG)
Builds
LLM-powered applications, agentic systems, and RAG frameworks for Fortune 500 clients
Domain
Generative AI, Large Language Models, Enterprise Software
Deliverable
production ML models
Required skills
LLM architecture and fine-tuning, RAG design, agent-based architectures, Python, PyTorch/TensorFlow, cloud platforms (AWS/GCP/Azure), MLOps, vector databases, prompt tuning, few-shot learning
Preferred skills
Master's/PhD in CS/AI, B2B enterprise GenAI deployment experience, hybrid search strategies
Technologies
GPT-4, LLaMA, Claude, LangChain, LlamaIndex, Haystack, FAISS, Pinecone, Weaviate, Chroma, Docker, Kubernetes
Responsibilities
Design and develop LLM-powered applications, fine-tune foundation models for domain-specific tasks, implement RAG frameworks, integrate AI assistants with internal systems, evaluate emerging GenAI tools, design benchmarking pipelines for LLM outputs, provide technical mentorship to junior data scientists
Seniority
Senior, hands-on IC