Applied AI Engineer

Corridor • San Francisco, CA

7d • Hybrid

About The Position

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.

Requirements

• 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 Haves

• 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)

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed