Irregular
Senior Software Engineer
7mo ago
WorldwideSeniordistributed systemsapibackendmonitoring
Senior Software Engineer responsible for designing, building, and scaling backend infrastructure and services for AI security evaluation platforms.
Responsibilities
- Architecting and scaling production-grade systems and workflows.
- Building backend services, APIs, and monitoring tools for large-scale model evaluations.
- Designing infrastructure that supports research experiments at scale.
- Implementing agent frameworks in production environments
- Designing and building challenges that measure a model’s ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools.
Other
- About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios.
- As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role As a Software Engineer at Irregular, you will take ownership of designing, building, and scaling the production systems that power our evaluation and security platform for frontier AI models.
- Your work will focus on creating robust, resilient, and high-performance infrastructure—whether that’s distributed pipelines, backend services, or tooling that supports our research teams.
- This role is engineering-first with a strong research and cyber component. You will develop systems that must run reliably in production, integrate with external partners, and support large-scale data, experiments, and automated evaluations. You’ll drive architectural decisions, lead technical implementations, and shape how our platform evolves.
- Have strong software engineering fundamentals and multiple years of production experience.
- Have experience working in multidisciplinary teams, and can adapt to rapidly evolving challenges.
- Enjoy working at the intersection of engineering and applied research.
- Are interested in AI and cybersecurity (experience in machine learning or cybersecurity is a plus but not necessary).
- Care about the societal impacts of your work.