Software Engineering Intern

Reposted 9 Days Ago
San Francisco, CA, USA
In-Office
Internship
Artificial Intelligence • Big Data
The Role
Join the core engineering team to build and scale high-throughput data capture workflows (web and desktop), architect low-latency data pipelines, ship production features, and establish engineering best practices while owning end-to-end projects.
Summary Generated by Built In
About AfterQuery

AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it. Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.

Why Apply
  • Massive Opportunity: We are one of the fastest-growing YC companies in our batch, and we believe we can become one of the fastest-growing YC companies of all time.

  • 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.

Overview

Working with our core engineering team, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.

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

Preferred Qualifications

Experience getting your ideas into production (founder experience preferred)

Company Benefits (For Eligible Employees):
  • Health Insurance: Medical, Vision, Dental

  • 401(k) with Employer Match

  • Daily Meals: Daily UberEats Stipend

  • Wellness Stipend: Monthly - Covers Equinox Membership

  • Commute Covered

We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law. We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.

Skills Required

  • Available to take a gap semester off and work in person in San Francisco
  • Proficiency in JavaScript (Next.js) and Python with full-stack web application experience
  • Experience with serverless architecture and cloud functions for heavy data processing (GCP/AWS)
  • Hands-on experience with Redis, Elasticsearch, and message queues (Kafka or RabbitMQ) to build scalable low-latency pipelines
  • Background in AI research, LLM evaluation, or human-in-the-loop systems
  • Experience deploying ideas to production
  • Founder experience

AfterQuery Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AfterQuery and has not been reviewed or approved by AfterQuery.

  • Fair & Transparent Compensation Pay is considered attractive when work is accepted, with public role postings and materials indicating strong compensation across expert projects and core employee roles. The experts track also highlights transparent pay rates and approval-linked payouts that do land.
  • Healthcare Strength Employee materials indicate medical, vision, and dental insurance are provided. Job postings reference a comprehensive package consistent with standard coverage.
  • Wellbeing & Lifestyle Benefits Daily meal stipends, commute support via Uber credits, and a monthly wellness stipend (including gym membership coverage) are prominently advertised. These lifestyle perks suggest attention to day-to-day convenience and wellbeing.

AfterQuery Insights

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The Company
200 Employees
Year Founded: 2024

What We Do

AfterQuery is an applied research lab curating data solutions to accelerate foundation model development.

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