AI Applied Researcher

About Radiant Security

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 an AI Applied Researcher working on AI Triage, Investigation and Response, you will develop AI driven solutions using agents and LLMs for Radiant customers.

This is a hybrid position and we are attending the offices 3 times a week (Pleasanton, California, USA).

What problems you will be working on?

• Building the ‘brain’ behind our product - by designing cutting edge agentic flows
• Cost and scale: We need to bring the power of LLMs and big-data integrations to customers on any budget.
• Accuracy: We aim to correctly triage any alert while providing full transparency on each step taken and the reasoning behind it.
• Breadth: We need to run on any customer environment and automate any security use case.

What you’ll do

• Research and optimization agentic flows to solve complex problems
• Participate in PoCs using bleeding edge technologies to empower our product
• Build and optimize retrieval-augmented generation (RAG) service to improve the consistency and quality of our pipelines.
• Fine tune LLMs to optimize accuracy and cost

Things we’re looking for

• Strong AI Applied Researcher with experience building complex AI applications.
• Experience with NLP, ML algorithms
• Experience contributing to research projects from PoC stage to production
• Experience with LLMs, Agents and RAG - Advantage
• Experience using LLMs / Deep Learning models - Advantage
• Ability to roll up your sleeves and get things done.
• A great communicator and team player.

Benefits

• Generous equity package
• Unlimited PTO (take time when you need it)
• Top-of-market salary
• Great healthcare

The process

We’re a startup and we’re making decision quickly. Our process is designed to give you the best glimpse of our team and allow us to evaluate your technical and culture fit.

• Step 1: Executive interview + Technical interview
• Step 2: Virtual On Site: Technical and Leadership interviews