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AfterQuery

LLM app development platform with observability

Senior Software Engineer - Security/Infrastructure

Security Engineering & ArchitectureUpdated on Nov 9
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Build internal tools or systems to solve security problems rather than only configure existing products.
  • Demonstrate strong programming ability in Python, Go, or TypeScript.
  • Have experience working with cloud environments, including identity and access management, networking, and containers.
  • Be able to identify vulnerabilities directly in code and system design.
  • Have experience creating or maintaining signal-based monitoring and alerting systems.
  • Be comfortable owning production issues when they arise.
  • Be able to move between security work and general engineering.
  • Have 2–7 years of experience building software or security systems.

Responsibilities

  • Build systems that identify and respond to real security events across the technology stack.
  • Replace manual security workflows with programmatic, scalable solutions.
  • Strengthen cloud and production environments, including Google Cloud Platform or Amazon Web Services, containers, and networking.
  • Design and enforce access control systems across internal teams, experts, and customers.
  • Integrate security checks directly into development workflows without slowing delivery.
  • Own incident handling systems and processes from detection through resolution.
  • Secure surfaces unique to AI systems, including data flows and model interaction layers.
  • Develop human-in-the-loop systems used in AI training and evaluation.
  • Contribute to core infrastructure and internal tooling used across the company.
  • Ship features across the stack that directly impact customers and model performance.

Desired Qualifications

  • Have a background in fast-scaling startups or high-output engineering teams.
  • Have exposure to AI systems, data pipelines, or model evaluation workflows.
  • Be familiar with offensive security techniques.
  • Have experience building tools that other engineers depend on.
  • Demonstrate experience building and shipping systems from zero to production.

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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