AI Full-Stack Engineer

We are seeking a Full-Stack AI Engineer to join the Crisis24 AI Lab, an R&D team focused on rapid innovation, early experimentation, and turning emerging AI opportunities into functioning proofs-of-concept that inform and support the Product team in exploring new possibilities and accelerate engineering.

As a Full-Stack AI Engineer, you will contribute to the research, design, conceptualization, implementation, and integration of working AI-driven prototypes, often starting from early ideas that precede fully defined requirements. Your work will help unlock new capabilities, validate feasibility quickly, and provide downstream teams with a clearer, faster path toward scalable systems.

The ideal candidate is a versatile, highly curious, and deeply analytical engineer who adapts quickly and enjoys working across the full stack. You should be comfortable exploring, experimenting, and thinking across boundaries while maintaining disciplined engineering practices and documentation.

We are especially interested in candidates who combine strong hands-on engineering ability with the maturity gained from past leadership or technical ownership roles. Even though this is an individual‑contributor R&D position, leadership experience helps you bring strategic thinking, architectural clarity, technical rigor, and the ability to elevate team execution.

This is a full‑remote role, with the expectation to join the team in Turin during key collaboration moments, deep technical discussions, and intensive ideation sessions.

Build AI‑powered internal tools and services, using AI‑assisted coding practices (e.g., ChatGPT, Codex, Copilot, Claude Code) to accelerate development, improve internal efficiency, and support internal productivity.

Develop backend systems, APIs, and microservices in languages such as Python (AI workflows), Go (high‑concurrency services), and C/C++ when low‑level optimization or numerical performance is required.

Use Deep Learning frameworks such as PyTorch to design, train, and experiment with new model architectures, as well as adapt and fine‑tune existing models for applied R&D needs.

Explore and adopt emerging languages and technologies (e.g., Produce production‑ready R&D code (clean, modular, well‑documented) even for early prototypes, ensuring downstream teams can easily understand, adopt, or extend the work.

Contribute to the team’s structured R&D lifecycle, providing visibility, prioritization inputs, technical evaluations, and support in identifying which prototypes should scale into core products.

Apply your leadership experience to elevate engineering maturity within the AI Lab: championing good practices, improving experimental pipelines, and contributing to high standards in the codebases.

You will report directly to the Head of Research and Artificial Intelligence, collaborating closely on a daily basis in architecture, design, experimentation, and pair‑programming.

Work with a cross‑disciplinary team with strong technical, research and intelligence backgrounds, supporting Crisis24’s global AI initiatives.

Collaborate regularly with Engineering, Product, Intelligence and Operations, and cross‑BU leaders, helping connect R&D efforts to high‑impact client and business needs.

Use your past leadership experience to influence discussions, guide technical reasoning, and help the Lab maintain a high bar for experimentation quality, documentation, and execution.

Proven experience as a Full‑Stack Engineer, AI Engineer, or Senior Software Engineer working across backend, APIs, and modern front‑end ecosystems.

Strong proficiency in Python (the AI Lab’s primary language for research, exploration, and AI‑driven workflows).

Experience with Go or a strong willingness to learn it quickly for high‑concurrency, high‑performance services.

Familiarity with C/C++ or a willingness to learn lower‑level languages for optimized algorithms or performance‑critical tasks.

Strong mastery of foundational engineering tools and environments, including Linux, shell scripting, Git, Docker, and related DevOps workflows essential for efficient development, experimentation, and deployment.

Ability to design and write clean, production‑quality codebases (tests, documentation, modular structure) even in fast‑moving R&D environments.

Strong analytical thinking supported by a solid foundation in computer science, mathematics, scientific reasoning, or algorithmic problem‑solving.

Experience working with AI/ML technologies, LLM integrations, or data‑processing workflows.

Excellent communication skills with the ability to discuss complex technical decisions with both engineering and non‑engineering stakeholders.

Experience leading or mentoring engineers, influencing architecture, or guiding teams through complex technical decisions.

Proven ability to translate vague or evolving problem statements into clear technical plans.

Demonstrated ability to uplift engineering quality by introducing best practices, enforcing structure, and fostering a collaborative mindset.

Experience with modern JS/TS frameworks (React, Solid, etc.) Background in machine learning, deep learning, physics, and mathematics.

Open‑source contributions or involvement in developer tooling.

Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related field (or equivalent experience).

We offer a competitive compensation package aligned with senior full‑stack engineering roles in AI‑driven product and R&D environments, with a target annual gross salary in the EUR 90,000–100,000 range depending on experience and demonstrated impact potential. Full‑remote flexibility is provided, with periodic in‑person collaboration in Turin.