About UsRedCarbon.ai 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.We're looking for someone who wants to build things that work in production, and who has the technical depth to understand why they work, or why they don't.
The RoleYou'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.Your main scope:AI integration : integrate ML and LLM components into production services, with end-to-end ownership of reliability and performanceService development : build and maintain AI-powered service interfaces in Python and TypeScript, from API design to deploymentCode quality : improve and refactor existing AI codebases, write tests and documentation, and own the technical quality of what you shipCross-functional collaboration : work with data scientists and threat analysts to translate requirements into robust, production-ready AI featuresDeployment and monitoring : support the full lifecycle of AI services in production: CI/CD, observability, incident responseTechnical decisions : actively contribute to architectural choices around AI systems, APIs, and tooling, interfacing with the development team and other stakeholders
What We're Looking ForMust have:Master's degree in Computer Science, Software Engineering, Data Science, or a related fieldSolid foundations in software development and strong understanding of machine learning conceptsProficiency in Python for backend and AI integration, or TypeScript for service and API development, ideally bothExperience with REST APIs, microservices, or service-oriented architecturesGood understanding of how LLMs actually work: attention mechanisms, context windows, why they hallucinateAbility to work autonomously and make technical decisions without waiting for constant validationFamiliarity with version control workflows (Git, PR-based development)Nice to have:Experience integrating or building with LLMs and Generative AI APIs (OpenAI, Anthropic, etc.)Familiarity with MLOps concepts and deploying ML models in productionExperience with cloud platforms (GCP preferred)Familiarity with containerization and orchestration (Docker, Kubernetes)Good software engineering practices: clean code, testing, code reviews, CI/CDKnowledge of cybersecurity concepts and threat intelligenceExperience with event-driven systems or message queuesExposure to big data or streaming technologiesOpen source contributions or visible side projects
What We OfferReal ownership over AI systems that matter. Our customers trust us with their security, and you'll help make that possible.A strong technical foundation with real room to influence where the AI architecture goesSmall team, fast decisions, minimal politicsWe follow AI developments closely and actually try new tools, not just talk about themSponsorship for conferences, events, and technical trainingFull remote (with occasional visits to Turin and company gatherings)Flexible working hours and scheduleMeal vouchersHealth insurance (CCNL Commercio)