Software Engineering Intern builds and scales data infrastructure, including web/desktop workflows and high-throughput pipelines, collaborating on product strategy. Requires proficiency in JavaScript/Next.js, Python, cloud services, and caching/search tools; must work onsite in San Francisco.
35 – 50/hr
On-siteEntry levelFullstack Engineering
About the role
Responsibilities
Build and scale complex data capturing workflows across web (Next.js) and desktop (Python)
Architect and optimize data pipelines that experience high throughput, with heavy loads
Collaborate with the founding team to define product strategy and ship features fast
Set engineering best practices and lay the groundwork for future team growth
Required Qualifications
Able to take a gap semester off and join our team in person in San Francisco
Proficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications
Experience with serverless architecture and cloud functions for implementing heavy data processing (GCP/AWS)
Storage, caching & search: Hands-on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low-latency pipelines
Any background in AI research, LLM evaluation, or human-in-the-loop systems
Experience getting your ideas into production (founder experience preferred)
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