Join the DSAI team at FactSet, where our mission is to enrich data from across the company to enable it to be used in GenAI workflows. Core to the DSAI 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.
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. They will also have the confidence to meaningfully contribute to team meetings in order to help lead discussions and drive outcomes.
What You'll Do
- Build new systems to ingest and enrich data into an ontology.
- Monitor and enhance the accuracy, performance, and observability of our GenAI RAG stack.
- Evaluate new large language models, tools, and AI engineering techniques.
- Improve query planning, optimization, and evaluation infrastructure.
- Partner and collaborate with product development leads to identify technical requirements for future product enhancements.
- Collaborate with teams across the organization to understand their data.
What We're Looking For
Required Skills
- Proficiency in Python, TypeScript, or similar language and its environment.
- 3+ years of software engineering experience required
- Proficiency with API design
- Strong technical writing and presentation skills
- Familiarity with relational databases and data modeling techniques.
- Bachelor’s degree in computer science, computer engineering, or similar technical field or equivalent practical experience
Desired Skills
- Experience with Cloud platforms such as AWS or Heroku
- Experience or knowledge of CI/CD concepts and GitHub
- An interest in the financial services domain
