Python Core Engineer

AISLE is building the AI that finds, fixes, and verifies software vulnerabilities autonomously - an end-to-end system that closes the gap between when a vulnerability appears and when it's safely patched. Vulnerabilities are the #1 root cause of cyber incidents, yet most organizations take weeks or months to remediate what attackers now exploit in days. We're ending that backlog.

Our systems already find and fix vulnerabilities in the world's most heavily audited codebases - 375+ independently validated CVEs across projects like OpenSSL, curl, Linux, and Chromium - at machine speed and superhuman scale. AISLE runs entirely inside our customers' perimeter (cloud, on-prem, or fully air-gapped) and can run on our optimized models or theirs, so even the most sensitive organizations, including those operating critical infrastructure, stay in full control of their code and their models.

Backed by world-class founders, advisors, and angel investors, we're defining a new category: sovereign, AI-native security. Our goal isn't to improve vulnerability management - it's to end the backlog and move toward a future where software defends itself.

We’re a small, talent-dense team spread across Europe, the US and Canada. We value high ownership, high velocity, and low-ego collaboration. If you want to work with world-class minds in AI and security, thrive in fast-moving environments, and care about solving one of the toughest challenges in tech, Aisle is the place for you.

• 3+ years of experience in back-end engineering with Python (or similar high-level language)

• Expertise in building scalable, distributed systems and microservices architectures

• Strong experience with cloud platforms (AWS preferred) and containerized environments (Docker, Kubernetes)

• Familiarity with databases (SQL/NoSQL) and messaging/queueing systems

• Hands-on experience with CI/CD pipelines and automated testing practices

• Solid understanding of secure coding principles and interest in cybersecurity

• Bonus: background in AI/ML integration, data pipelines, or enterprise SaaS products

• Drive end-to-end development of back-end components: design, implementation, testing, deployment, and monitoring

• Contribute to architecture and technical design decisions for scalable, distributed systems

• Build and optimize APIs and services to support AI-driven vulnerability detection and remediation

• Improve the efficiency, scalability, and security of our core platform

• Collaborate with front-end, AI research, and DevOps teams to deliver features end-to-end

• Participate in code reviews, knowledge sharing, and mentoring within the team