Applied AI Engineer

Corridor Security Inc

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in a software engineering or ML role (5+ preferred)
  • Experience shipping production code and owning features
  • Track record of building on large language models (LLMs)
  • Hands-on experience with LLM evaluation
  • Self-directed and product-minded with ownership of projects

Responsibilities

  • Own and enhance evaluation metrics to improve product performance
  • Ship product changes for AI enhancements, including prompts and integrations
  • Manage the entire project life cycle from prototype to production
  • Collaborate with AI and product engineers to innovate new AI capabilities

Benefits

  • Hybrid work environment to balance in-office and remote work
  • Opportunity to work at the intersection of AI and cybersecurity
  • Be part of a team with leadership from top experts in the field
  • Contribute to cutting-edge security solutions in AI
  • Engage in a high-growth startup culture with rapid advancement opportunities
Full Job Description
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).

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