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AfterQuery

LLM app development platform with observability

Software Engineer - Applied AI

Full-Stack EngineeringUpdated on Nov 13
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Proficiency in JavaScript, including Next.js, and Python, with demonstrated experience building full-stack web applications.
  • Experience with serverless architecture and cloud functions for implementing heavy data processing using GCP or AWS.
  • Hands-on experience with Redis for caching, Elasticsearch for indexing, and message queues such as Kafka or RabbitMQ to build scalable, low-latency pipelines.
  • Experience getting ideas into production.

Responsibilities

  • Build and scale complex data-capturing workflows across web using Next.js and desktop using Python.
  • Architect and optimize high-throughput data pipelines that handle heavy loads.
  • Collaborate with the founding team to define product strategy and ship features quickly.
  • Set engineering best practices and lay the groundwork for future team growth.

Desired Qualifications

  • Founder experience.
  • Background in AI research, LLM evaluations, or human-in-the-loop systems.

About the Company

AfterQuery

LLM app development platform with observability

AfterQuery provides a data platform for developers to build, evaluate, and monitor LLM-powered applications. It connects to enterprise data sources like Notion, Slack, and databases and prepares data for use in Retrieval-Augmented Generation (RAG). It offers evaluation tools to test models before deployment and observability to monitor performance, costs, and issues such as hallucinations and prompt drift in production. Its end-to-end, data-centric workflow targets production-ready AI solutions for enterprises, backed by YC.

Company size
201-500
Company stage
Series A
Total funding
$30.1M
Headquarters
San Francisco, CA
Founded
2024

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