AI Engineer

AI has changed software development. Security hasn’t caught up — until now. Corridor is redefining product security for the AI era, giving developers the ability to secure their 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 AI Engineer to help build, experiment with, and ship the AI systems that power Corridor’s core product. This is a hands-on role combining applied research and engineering . You’ll work closely with the team to prototype ideas, turn research into production systems, and contribute to applied research at the intersection of AI and security. What You’ll Do Build and experiment with AI systems for code understanding, vulnerability detection, and agentic security tools Implement research ideas end-to-end, from prototypes and benchmarks to production-ready systems Collaborate on applied research projects and contribute to publications, blog posts, or benchmarks Help design and maintain infrastructure for model evaluation, training, and experimentation Work closely with product and engineering teams to integrate AI capabilities into Corridor’s platform Stay current with new developments in AI, especially as they relate to code and security What We’re Looking For Strong engineering background with experience building real systems or projects 2+ years of industry or research experience in software engineering, ML, or a related field Hands-on experience writing production-quality code (Python, ML frameworks, backend systems, vector stores, hybrid search, databases, etc.) Interest in applied AI research and the ability to turn ideas into working software Familiarity with model fine-tuning, evaluation pipelines, or RL-style environments Self-directed and curious. You can take ownership of ambiguous projects Nice to Have Experience with code generation and/or security Prior research experience or publications in ML/AI or security venues 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). Check out some of our existing blog posts on AI: The State of Secure Coding Benchmarks: BaxBench The State of Secure Coding Benchmarks: SecCodeBench