Data Scientist
Core
Design, develop, test, and improve LLM-based and Retrieval-Augmented Generation (RAG) solutions, including internal chatbot and conversational AI products.
Role type
Agentic AI Engineer (LLM & RAG specialist)
Builds
Internal chatbot and conversational AI products
Domain
Aviation industry, Generative AI, Large Language Models
Deliverable
production ML models
Required skills
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector search, document retrieval, chunking strategies, prompt engineering, LLM evaluation, software engineering, data engineering
Preferred skills
Chatbot development, conversational AI, knowledge assistant, search, recommendation systems, AI agents, tool use, MCP
Technologies
LLMs, RAG architectures, vector databases, search engines
Responsibilities
Design and develop LLM-based and RAG solutions; build internal chatbot and conversational AI products; prepare and optimize knowledge sources for AI applications; evaluate and improve LLM performance; collaborate with product and engineering teams to translate business needs into AI solutions; contribute to technical design of Generative AI solutions; support other data and AI initiatives.
Seniority
Mid-Senior, hands-on IC