You report to Carlos Bielsa, Chief AI Officer & Managing Partner. This is a strong IC role — most of your time goes to designing, building, and shipping. The team is small, senior, and expanding, so you pick up significant ownership early and grow it as the team grows. You work closely with Quantitative Research, AI Engineering, Product & Data, and the investment team, and we treat agentic AI as a default in how we build.
- Design, build, and operate large-scale data pipelines, ETLs, APIs, and integrations that handle complex datasets and high-volume traffic reliably.
- Build and improve internal research tooling, including the web frontends the investment team uses, and evolve our data platform (lakehouse, orchestration, processing) and the primitives the team builds on.
- Build the data and infrastructure foundations that LLM-enabled workflows and AI agents depend on.
- Strengthen operational excellence: observability, monitoring, incident response, data quality, and secure data handling.
- Raise the engineering bar through code reviews, design discussions, and mentoring, and use agentic AI across all engineering functions (coding, review, testing, debugging, monitoring, security audits, documentation) to push the team's practices forward.
