Posted 1 month ago
Staff Software Engineer
AI Summary
Staff Software Engineer focused on AI Triage, Investigation and Response. Leads development of AI-driven automations and scales data platforms, integrating LLMs with external data sources and leveraging RAG for consistent AI outcomes.
About this role
About us
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.
The Role
As a Staff Software Engineer working on AI Triage, Investigation and Response, you will lead efforts to develop AI driven automations for Radiant customers.
What you’ll do
- 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
Things we’re looking for
- 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.
The process
We’re a startup and we make decisions quickly. Our process is designed to give you the best glimpse of our team and allow us to evaluate your technical and culture fit.
Application Review > Recruiter Screening > Hiring Manager Interview > Technical Interviews > Virtual Onsite
