Fall 2026

Software Engineer Intern

Updated on 7/2/2026

AfterQuery

AfterQuery

51-200 employees

LLM app development platform with observability

Compensation Overview

$57.69/hr

San Francisco, CA, USA

In Person

In-person internship; must be in San Francisco, California for duration of internship.

Category
Software Engineering (1)
Required Skills
LLM
RabbitMQ
Python
JavaScript
Apache Kafka
AWS
Elasticsearch
Redis
Next.js
Serverless
Google Cloud Platform
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)
  • Able to take a gap semester off and join our team in person in San Francisco
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.

AfterQuery provides a data platform for developers to build, evaluate, and monitor generative AI applications across the full LLM development lifecycle: data preparation for Retrieval-Augmented Generation (RAG), model evaluation, and production observability. It connects enterprise data sources like Notion, Slack, and databases to preprocess data for use by LLMs. The platform includes tools to test models with qualitative and quantitative metrics before deployment and to monitor performance, costs, and issues such as hallucinations or prompt drift once in production. Its goal is to help organizations build dependable, scalable, and maintainable LLM-powered applications through an integrated, data-centric workflow.

Company Size

51-200

Company Stage

Series A

Total Funding

$30.1M

Headquarters

San Francisco, California

Founded

2024

Your Connections

People at AfterQuery who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • $30M Series A at $300M valuation confirms strong investor confidence in expert-driven data demand.
  • Over $100M annual revenue run rate achieved within 14 months demonstrates rapid market adoption.
  • Expansion into enterprise offerings and broader domain coverage will deepen competitive moat.

What critics are saying

  • Scale AI may launch expert-curated datasets with $500M+ revenue, undercutting prices in 6–12 months.
  • Mercor's AI-driven recruiter automation could disrupt expert acquisition costs within 9–15 months.
  • OpenAI's internal 'Project Oracle' might simulate 100K expert personas, eliminating AfterQuery's market in 24–36 months.

What makes AfterQuery unique

  • AfterQuery leverages 100,000 verified professionals to create expert-driven AI reasoning datasets.
  • It uniquely encodes real-world expertise into reinforcement learning environments for superior model training.
  • The company targets all leading AI labs with specialized, high-fidelity data unavailable from public sources.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

Growth & Insights

Headcount

6 month growth

-8%

1 year growth

-8%

2 year growth

-14%