Applied AI Engineer
Corridor · San Francisco (OnSite)
On-siteNew
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ai engineerapplied ai
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AI has changed software development, but security hasn't caught up — until now. Corridor is redefining product security for the AI era, building the security layer on AI generated code.
Our team works at the intersection of AI and cybersecurity. Collectively, we've led security at some of the world's largest companies, driven cybersecurity policy efforts in the US government, and worked on open models in government and academia. We're hiring an Applied AI Engineer to make the AI systems that power Corridor's product measurably better.
This is a hybrid AI and software engineering role. Where our AI Engineers focus on core AI problems — you'll focus on product AI problems: obsessing over our evals, shipping the improvements that move them, and owning that work end-to-end.
What You'll Do
Own our evals: make them better, and make us better on them
Ship product changes that improve our AI systems — prompts, retrieval, agent scaffolding, model and tool integrations
Own your work end-to-end, from prototype to production
Work closely with our AI and product engineers to bring new AI capabilities into Corridor's platform
What We're Looking For
Experience shipping production code and owning features end-to-end
A track record of building on LLMs and measurably improving AI systems
Hands-on experience with LLM evaluation
3+ years of experience in a software engineering or ML role. Ideally 5+
Self-directed and product-minded. You can take ownership of ambiguous projects
Nice to Have
Infrastructure or DevOps experience (CI/CD, cloud, observability)
Experience with model fine-tuning
Experience with code generation and/or security
Experience working at high-growth startups as an engineer or founder
Open-source contributions or public technical writing (blogs, benchmarks, demos)
About Us
Co-founder and CEO Jack Cable is a top-ranked bug bounty hunter who previously led Secure by Design at CISA.
Co-founder and CTO Ashwin Ramaswami built large-scale systems at Skiff, Caldera, and Nooks, and published research on AI and open foundation models at Stanford.
CPO Alex Stamos is the former CISO of Facebook, Yahoo, and SentinelOne and a current lecturer at Stanford University.
Some of our angels and advisors include Russell Kaplan (Cognition), Thomas Wolf (Hugging Face), Jonathan Frankle (Databricks), and Mike Krieger (Anthropic).
Posted 2026-07-15