About the job
Join our dynamic core engineering team at AfterQuery, where you'll play a pivotal role in developing cutting-edge data infrastructure that will influence the advancement of frontier AI models. This position offers substantial responsibility, allowing you to oversee entire projects from inception to completion—providing immediate visibility of your contributions.
Company Overview
AfterQuery is an innovative research lab at the forefront of artificial intelligence, exploring its limits and potential through unique datasets and experiments. Our primary clientele consists of foundation model labs, making us a vital partner for leading AI research labs worldwide.
Headquartered in San Francisco, CA, we have garnered support from top-tier investors including Y Combinator, BoxGroup, and former partners from Lightspeed and Index Ventures, as well as prominent figures from Google DeepMind and Meta GenAI.
Our founding team is composed of experts from prestigious organizations such as Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, and leading AI research institutions like Berkeley AI Research (BAIR) and Stanford AI Laboratory (SAIL).
Why You Should Apply
Significant Growth Potential: As one of the fastest-growing YC companies, we are poised to set records in our sector.
Founding Role: Take charge of our data infrastructure from day one and leave your mark.
Exceptional Team: Collaborate with a founding team that boasts experience from top firms like Citadel Securities, Meta, and Google.
Key Responsibilities
Design and implement complex data capturing workflows across web (Next.js) and desktop (Python) environments.
Architect and enhance data pipelines to handle high throughput and heavy loads efficiently.
Work closely with the founding team to shape product strategy and rapidly deploy features.
Establish engineering best practices and prepare for future team expansion.
Essential Qualifications
Must be able to take a gap semester and work on-site in San Francisco.
Proficient in JavaScript (Next.js) and Python, with a proven track record of developing full-stack web applications.
Experience with serverless architecture and cloud services (GCP/AWS) for intensive data processing.
Familiarity with caching (Redis), indexing (Elasticsearch), and message queues (Kafka) is a plus.

