About the company
SoFi is a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals.
Responsibilities
- Build agentic AI workflows: develop multi-step AI workflows such as planning, tool use, retrieval, structured orchestration on approved enterprise AI platforms.
- Build AI telemetry: own usage, cost, engagement, and ROI reporting across Finance AI tools.
- Contribute to the experience layer: help design how Finance users interact with AI systems.
- Validate outputs: apply and refine repeatable patterns for validating AI outputs before they inform Finance decisions.
- Prototype fast: turn prioritized Finance use cases into working prototypes.
- Learn the domain: develop Finance fluency and SQL rigor.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field, or equivalent practical experience.
- 1–3 years of experience building with LLMs or exceptional new-grad record with substantial hands-on agent projects.
- Demonstrated hands-on experience with LLM APIs, prompt engineering, RAG, or agent frameworks.
- Working Python for automation, API integration, and prototyping.
- Basic SQL for querying data.
- Builder mindset.
- Willingness to learn Finance domain context.
Nice to have
- Exposure to evaluation, tracing, or observability practices for AI systems.
- Exposure to Snowflake, Cortex, or natural-language-to-SQL tooling.
- Exposure to Finance, Accounting, or another controlled/regulated data environment.
- Experience building user-facing tools or internal apps powered by AI.