Staff Software Engineer

RadiantSecurity

About The Position

Radiant Security is building the most advanced AI SOC platform, featuring unbounded alert triage, investigation, and response for security teams at scale. Our platform ingests alerts from across an organization's entire security stack (SIEM, EDR, identity, cloud) and uses AI to triage, investigate, and surface what actually matters. We're replacing alert fatigue with clear signal, so analysts can focus on real threats. We're a small, fast-moving team. We ship continuously, stay close to customers, and hold ourselves to a high standard. Our product touches the daily workflows of security teams, and decisions we make have a direct impact on how quickly threats get resolved. Join us and boost your career with hands-on AI experience. As a Staff Software Engineer working on AI Triage, Investigation and Response, you will lead efforts to develop AI driven automations for Radiant customers.

Requirements

  • An incredibly strong engineer with +8 years of experience building complex backend applications.
  • Strong experience of distributed systems and techniques for building fault-tolerant, high-availability platforms.
  • Experience with ML algorithms, Real-time Analytics or LLMs (AI experience not required)
  • Ability to roll up your sleeves and get things done.
  • A great communicator and team player.

Responsibilities

  • Integrate the LLMs against hundreds of external data sources (terabytes per customer).
  • Scale out the data platform at all levels (ingest, search, storage, aggregation and reporting).
  • Leverage retrieval-augmented generation (RAG) to improve the consistency of AI outcomes and avoid duplicate inference.
  • Improve our Agentic AI services as well as the platform they run on:
  • Empower our Cybersecurity experts and researchers by improving the platform.
  • Automate on-boarding of new data sources, so they can been effortlessly integrated into the Agentic AI pipeline.
  • Prototype and evaluate new AI features including Incident Investigation and Automated Response
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