Junior IT Technician for Agentic AI Solutions Development

• University degree or vocational training in the field of:

  • Computer Engineering.

  • Data Science.

  • Artificial Intelligence.

  • Or related degrees.

• Programming knowledge in Python.

• Basic knowledge of software development.

• Interest in generative artificial intelligence and agentic systems.

• Ability to learn and work in online teams

• Having completed academic or personal projects related to AI in cybersecurity or intelligent automation.

• Familiarity with frameworks such as OpenAI API, LangGraph, Google or Microsoft ecosystems for the development of agentic solutions.

• Experience in the evaluation and mitigation of risks associated with LLM, including prompt injection, information leakage (data leakage), and security in RAG systems.

• Basic knowledge of Git and Docker.

• Basic knowledge of databases.

• Knowledge in matters of cybersecurity or IT auditing

• Remote work.

• Part-time or full-time, depending on need or availability.

• Temporary contract associated with the project.

• A collaborative academic environment, with opportunities for professional development.

If you want to be part of a pioneering project that combines cybersecurity, advanced artificial intelligence, and applied research, we invite you to submit your application and contribute to the development of innovative solutions with real impact.

UNIR, a leading university in online training, is looking for junior talent to participate in an innovative project in the field of Cybersecurity and Artificial Intelligence.

If you are passionate about technology, generative AI, and want to develop yourself in an environment where research and practical application go hand in hand, this is your project. Join an institution in growth and international expansion and participate in the development of new technological solutions applied to security.

We are looking for a junior developer to collaborate on the implementation of prototypes for artificial intelligence-assisted auditing systems.

The selected person will participate in the development of systems based on Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and the integration of external tools via APIs. They will work under the supervision of senior project staff.

Previous experience in cybersecurity or systems auditing, and specific certifications, will be valued, but they are not essential.

• Keep information regarding the state of the art in the areas of cybersecurity, generative AI, and agentic systems up to date.

• Implement software components based on LLM.

• Develop integrations with APIs and external services.

• Participate in the construction of RAG systems over technical documentation.

• Configure and test workflows with AI agents.

• Collaborate on validation, testing, and documentation tasks.

• Recent graduate or up to 2 years of experience.

• Certifications are not required.

• Previous professional experience in agentic AI is not required.

• Growth potential and motivation to learn will be valued