AI Engineer
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)
