AI Engineer, Product

Posted Yesterday
San Francisco, CA, USA
In-Office
Mid level
Artificial Intelligence • Information Technology • Software • Cybersecurity
The Role
Design, evaluate, and ship LLM-driven product features end-to-end. Improve evaluations, prompts, retrieval, agent scaffolding, and model/tool integrations. Prototype and productionize AI capabilities while collaborating with AI and product engineers.
Summary Generated by Built In
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 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

  • Experience with an agent orchestration framework, i.e. LangChain

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).

Skills Required

  • Experience shipping production code and owning features end-to-end
  • 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
  • Self-directed and product-minded, able to take ownership of ambiguous projects
  • Experience with an agent orchestration framework (e.g., LangChain)
  • 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)
Am I A Good Fit?
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The Company
29 Employees

What We Do

Corridor Security Inc. provides an AI-powered security platform that integrates directly with AI coding tools and developer workflows to guide secure code generation in real time. By preventing security flaws before they are written and reviewing pull requests to identify vulnerabilities, the platform helps engineers build secure applications, enforce security guardrails, and deliver actionable remediation guidance directly at the source.

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