Software Engineer

About the Role

Our client, an applied research lab specializing in data solutions for foundation model development, is seeking a Platform and Applied AI Engineer. This role offers direct access to leadership and full end-to-end ownership of the core data infrastructure that powers their work with frontier labs. You will shape systems, architecture, and engineering practices for high-throughput pipelines and full-stack web surfaces in a fast-paced, greenfield environment.

Key Responsibilities

• Build and scale complex data-capture workflows across web (Next.js) and desktop (Python), owning reliability and throughput end-to-end.
• Architect and optimize high-throughput data pipelines capable of handling heavy production loads.
• Set engineering best practices and establish architectural groundwork for a rapidly scaling engineering organization.
• Collaborate directly with the founding team to define product strategy and ship features quickly.
• Own greenfield infrastructure decisions across storage, caching, search, and message-queue architectures.
• Design, implement, and maintain resilient distributed systems and internal tooling.

Requirements & Tech Stack

• Strong coding fundamentals in Node.js / TypeScript, Python, and/or Go.
• Deep understanding of distributed systems, scalability challenges, and modern system design.
• Highly proactive and autonomous approach with a strong drive to build in a high-velocity startup environment.
• Excellent problem-solving skills.
• Ability to operate across the entire stack.

Qualifications

• Degree from a top university, prior experience at a top quantitative trading firm, or previous experience as a founding engineer.
• 0-4 years of high-impact engineering experience with a strong builder mindset.