RedCarbon.ai 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
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 performance
- 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: CI/CD, observability, incident response
- Technical decisions: actively contribute to architectural choices around AI systems, APIs, and tooling, interfacing with the development team and other stakeholders
- 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
- Experience with REST APIs, microservices, or service-oriented architectures
- Good understanding of how LLMs actually work: attention mechanisms, context windows, why they hallucinate
- Ability to work autonomously and make technical decisions without waiting for constant validation
- Familiarity with version control workflows (Git, PR-based development)
- Experience integrating or building with LLMs and Generative AI APIs (OpenAI, Anthropic, etc.)
- Familiarity with MLOps concepts and deploying ML models in production
- Experience with cloud platforms (GCP preferred)
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Good software engineering practices: clean code, testing, code reviews, CI/CD
- Knowledge of cybersecurity concepts and threat intelligence
- Experience with event-driven systems or message queues
- Exposure to big data or streaming technologies
- Open source contributions or visible side projects
- Real 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 goes
- Small team, fast decisions, minimal politics
- We follow AI developments closely and actually try new tools, not just talk about them
- Sponsorship for conferences, events, and technical training
- Full remote (with occasional visits to Turin and company gatherings)