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Software Engineer - Platform/Applied AI (Fullstack)

AfterQuery
San Francisco, USA
Full-time
Mid
Onsite
USD 180000-220000 yearly / year
Discovered 1 months ago
Next.jsJavaScriptPythonRedisElasticsearchKafka

Full Job Posting

Company Overview

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).

Why Apply

Massive Opportunity: We were one of the fastest growing YC companies in our batch, and we believe we can be one of the fastest growing YC companies of all time

Founding role—you’ll define and own our data infrastructure from day one.

Equity & Growth – Competitive salary + equity. As we scale, you’ll have the opportunity to lead and grow an engineering team.

Strong Team: Founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley – get to work with the best :)

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

  • 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)

Compensation

  • 180-220K base + dataset commission bonus (4% Gross Profits; 100k-400k w/ no cap) + equity (200-300K vested over 4 years)

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