- 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.
- Integrate the LLMs against hundreds of external data sources (easily surpassing 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
- An incredibly strong engineer with 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.
- Generous equity package
- Unlimited PTO (take time when you need it)
- Top-of-market salary
- Great healthcare
- 401k
- Step 1: Executive interview + Technical interview
- Step 2: Virtual On Site: Technical and Leadership interviews
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Staff Software Engineer - San Francisco - RadiantSecurity
Description
About Radiant SecurityRadiant Security is a Bay Area Cyber AI Startup that raised funding from top tier investors.
Our vision is simple: enable all security teams, to perform security operations with the efficiency and effectiveness needed to prevent breaches. We're a small team of researchers and engineers with a deep focus in cyber and AI. Our product automates the triage for any security alert leveraging deep research, big data and dozens of AI Agents.
Join us and boost your career with hands-on AI experience.
This is a hybrid position and we are attending the offices 3 times a week (Pleasanton, California, USA).
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 problems you will be working on?
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.
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco, California, United States
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco, CA
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco, CA
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Full time Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco, CA
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Software Engineer
Only for registered members San Francisco, California, United States
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Software Engineer
Full time Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco, CA
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Full time Only for registered members San Francisco
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Software Engineer
Only for registered members San Francisco, CA
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Software Engineer
Only for registered members San Francisco
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Software Engineer
Full time Only for registered members San Francisco
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Software Engineer
Only for registered members Battery St, San Francisco, CA , USA
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Software Engineer
Only for registered members San Francisco