Software Engineer - Platform/Applied AI (Fullstack)

AfterQuery•San Francisco, CA

18h•Onsite

About The Position

As one of our core engineers, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will be one of our first hires, and will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly. AfterQuery is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs, and we serve all of the frontier AI labs. We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI. Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL).

Requirements

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)

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.