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AI Engineer

๐Ÿ“… Jul 16
PythonMachine LearningBackend SystemsVector Stores
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๐Ÿ“œ Description

  • Build and experiment with AI systems for code understanding, vulnerability detection, and agentic security tools.
  • Turn research ideas into production-ready systems, from prototypes and benchmarks through implementation.
  • Collaborate on applied research and contribute to publications, blog posts, or benchmarks.
  • Design and maintain infrastructure for model evaluation, training, and experimentation.
  • Integrate AI capabilities into the platform with product and engineering teams.
  • Track developments in AI related to code and security.

๐Ÿ› ๏ธ Requirements

  • 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
  • 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)
Full job description

About Corridor

Software development is becoming autonomous. The fastest teams already work this way, and at Corridor, we are leading the way on secure development as the rest of the industry follows.

Security tools were designed for a world where a person wrote the code and a person reviewed it. That's changing quickly. Corridor is securing software factories. We are the security solution for software that builds itself at every level of autonomy. We are preventing vulnerabilities as agents write code, and guiding teams to help decide what's safe to ship.

We're a small, talented team, led by Jack Cable (Former CISA - Secure by Design), Ashwin Ramaswami (Former CISA, Stanford, and Schmidt Futures) and, Alex Stamos (Former CISO of Facebook, Yahoo, SentinelOne).

Corridor is backed by Conviction, with a $25M Series A led by Felicis and our customers include ElevenLabs, Lovable, Mercor, and Langchain.


What Youโ€™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 Corridorโ€™s platform

  • Stay current with new developments in AI, especially as they relate to code and security

What Weโ€™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:

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