Join the DataPilot team at FactSet, where our mission is to transform our users’ natural language queries into actionable insights using our generative AI platform. Core to the DataPilot infrastructure is a knowledge graph that connects financial concepts to the data available at FactSet. Engineers on the team maintain and enhance a GenAI-powered software stack that operates at the intersection of financial data, knowledge management, and data engineering.
Team => 3 software engineers in London and 3 software engineers in the USA.
Technical stack => Python, pandas, Jupiter, typescript, terraform, AWS, Lang chain, Open AI, Neo4j, streamlit, pydantic, graphQL.
The day-to-day role of an engineer on the DataPilot team is to:
You will be working on a team in a fast-paced environment where you will have the opportunity to influence the design and architecture of the product. An ideal candidate for the role would be an individual that has experience or a strong interest in working with generative AI and related technologies, utilizing open-source
composable data frameworks
, an interest in knowledge graph and semantic web technologies, and a passion for understanding and iterating on user workflows.
Additional/Desired Skills
Bachelor’s degree in computer science, computer engineering, or similar technical field or equivalent practical experience.