Junior – Applied AI Security Research Engineer

02 ott - Italia
Deloitte Italia

What impact will you make?

Junior – Applied AI Security Research Engineer - NextHub Bari

Deloitte is looking for an Applied AI Security Research Engineer to join the Deloitte NextHub, based in Bari, with a hybrid working model.

The team leverages frontier AI models to build new security capabilities in the following areas:

• AI Security;
• Application Security.

The team combines expertise in cybersecurity, AI, and software engineering to turn AI research, experimentation, and model development into tools capable of testing real-world AI models, agents, and applications.

Your role

You will work with LLMs and other frontier AI models to develop new cybersecurity capabilities, from early-stage research and experimentation through to production. Working alongside senior specialists, you will contribute to both AI research and development and backend and frontend development, while maintaining a comprehensive understanding of the solutions being developed and how their different components interact.
You will have the opportunity to propose ideas, experiment with new approaches,



train, evaluate, and adapt models, and see your solutions applied in real-world scenarios.

In particular the Junior resource will be integrated into a work team, working alongside senior colleagues and responsible for:

• research, evaluate, train, and adapt LLMs for cybersecurity use cases, experimenting with fine-tuning techniques and assessing their capabilities, effectiveness, and limitations;
• design experiments, benchmarks, and evaluation pipelines to compare different models and approaches;
• develop backend services, orchestration layers, and asynchronous REST APIs using Python/FastAPI;
• design React/TypeScript interfaces to make complex security workflows accessible and easy to use;
• develop data models, integrations, containers, and CI/CD pipelines;
• turn prototypes and research outcomes into robust capabilities, contributing to architectural decisions while balancing securit

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