GOOGLE CLOUD PLATFORM DEVELOPER (Remoto)

is a Turin-based AI cybersecurity startup building LLM and ML-powered systems that help security teams automate threat analysis and incident response at scale. They are looking for an AI Software Engineer with strong Python/TypeScript skills and a solid understanding of how LLMs work, capable of owning AI services end-to-end in a fast-moving environment. The role offers full remote, real technical ownership, and direct influence over AI architecture decisions within a small, low-bureaucracy team.

Italy - Remote

Full Time

is a fast-growing AI cybersecurity company based in Turin, Italy. Security isn’t an add-on for us. It’s the product. Our platform is powered by Python and TypeScript, driven by LLMs and machine learning, and deployed in cloud-native environments. We’re building AI-driven systems that work alongside human security teams to automate complex threat analysis and incident response at scale.

You’ll be part of the team building and evolving the AI systems that power our threat intelligence and incident analysis capabilities. You’ll work closely with data scientists, threat analysts, and backend engineers in a startup where things move fast and there’s no approval chain slowing you down.

Service development : build and maintain AI-powered service interfaces in Python and TypeScript, from API design to deployment

Code quality : improve and refactor existing AI codebases, write tests and documentation, and own the technical quality of what you ship

Cross-functional collaboration : work with data scientists and threat analysts to translate requirements into robust, production-ready AI features

Deployment and monitoring : support the full lifecycle of AI services in production: Master’s degree in Computer Science, Software Engineering, Data Science, or a related field

Solid foundations in software development and strong understanding of machine learning concepts

Proficiency in Python for backend and AI integration, or TypeScript for service and API development, ideally both

Good understanding of how LLMs actually work: attention mechanisms, context windows, why they hallucinate

Familiarity with version control workflows (Git, PR-based development)

Experience with cloud platforms (GCP preferred)

Good software engineering practices: clean code, testing, code reviews, CI/CD

Knowledge of cybersecurity concepts and threat intelligence

Exposure to big data or streaming technologies

Open source contributions or visible side projects

xrdbqlu Our customers trust us with their security, and you’ll help make that possible.

Sponsorship for conferences, events, and technical training

Full remote (with occasional visits to Turin and company gatherings)

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