**Founding Impact:
**You will own and architect core infrastructure systems that power our platform from the ground up.

**Equity & Growth:
** Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.

**Strong Team:
** Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.

Responsibilities

Design and build core infrastructure systems

• Architect and develop the shared infrastructure powering our data generation platforms, human-in-the-loop systems, and evaluation pipelines.

Develop scalable distributed systems

• Build systems capable of processing large-scale datasets and high-throughput workloads with strong reliability guarantees.

Build internal platforms and shared services

• Create reusable infrastructure and APIs that enable product engineers and researchers to build quickly and reliably on top of core systems.

Optimize performance and reliability

• Design systems with strong observability, monitoring, and fault tolerance to support production workloads at scale.

Own infrastructure architecture

• Help define long-term system architecture across data pipelines, compute infrastructure, task orchestration, and storage systems.

Collaborate across engineering and research

• Work closely with engineers and researchers to support new AI experimentation workflows and platform capabilities.

Establish engineering best practices

• Define standards for system design, deployment, reliability, and infrastructure operations.

Required Qualifications

• Strong experience building production distributed systems or platform infrastructure
• Proficiency in Python and/or JavaScript (Node.js / Next.js) or similar backend technologies
• Experience designing and operating systems in cloud environments (GCP or AWS)
• Experience with message queues and event-driven systems (Kafka, RabbitMQ, Pub/Sub, etc.)
• Experience working with high-throughput data pipelines and asynchronous processing systems
• Strong understanding of system scalability, performance, and reliability
• Experience owning systems running in production environments

Preferred Qualifications

• Experience building internal developer platforms or shared infrastructure
• Experience supporting large-scale data processing pipelines
• Experience with AI infrastructure, LLM evaluation systems, or ML pipelines
• Experience working at high-growth startups or scaling early infrastructure
• Experience designing human-in-the-loop or workflow orchestration systems

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.