Senior Data Scientist

Job Summary

To build and optimize production-ready AI applications, the full-time Senior Data Scientist will design complex multi-agent systems, implement advanced retrieval-augmented generation (RAG) pipelines, and manage the deployment of large language models (LLMs) in a hybrid work environment.

Key Responsibilities

• Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures
• Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval
• Design and deploy high-performance, scalable backend services using FastAPI and Async Python

Required Qualifications

• 7+ years of experience in building and deploying Generative AI applications in a production setting
• Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.)
• Experience with vector search, embedding models, and advanced data retrieval patterns
• Knowledge of model fine-tuning techniques and local LLM quantization/hosting
• Familiarity with production-grade monitoring, API security, and CI/CD for ML