Junior ai-xr systems engineer / phd track

This position is intended for someone who wants to grow technically and develop an applied Ph D at the intersection of LLM agents, software architectures, human-AI interaction, virtual humans, digital twins, and XR environments. The project will develop a platform in which users will be able to interact by voice with virtual human avatars integrated into XR environments.

These avatars will act as cognitive co-pilots capable of interpreting context, connecting with external tools and systems, providing explainable assistance, and adapting their responses to the user’s state and the task at hand., Basic knowledge of APIs, backend development, or software architecture. Familiarity with Git and collaborative development environments. Interest in LLM agents, tool calling, RAG, conversational systems, or applied AI. Ability to learn independently and a prototyping-oriented mindset. Interest in developing an applied Ph D. Holding an official master’s degree, or being close to completing one, that qualifies the candidate to pursue a Ph D in Spain. C1 level of spoken and written English to work within the framework of a European project.

Additional assets The following will be positively valued: Experience with Fast API, Web Sockets, REST APIs, or microservice architectures. Knowledge of Docker, basic deployment, or Dev Ops tools. Interest or experience in MCP, LLM agents, multi-agent systems, or AI orchestration. Knowledge of Unity, C#, Open XR, or XR systems integration. Experience with sensors, Io T, physiological signals, or multimodal interaction. Interest in digital twins, simulation, or industrial environments.

Contract & Outstanding Work-Life Balance: A 3-year contract with flexible hours and 1 day of remote work per week. Exceptional leave policy including a full month in August, weeks off at Christmas and Easter, plus additional personal days and a reduced daily schedule. Ph D & Career Development: The opportunity to pursue an applied Ph D linked to the project, actively participating in scientific publications, international conferences, and technological developments with real-world transfer potential.

You will participate in the design, development, and integration of prototypes related to: Python backends for conversational agents, AI services, and dynamic tools. Integration of generative models and LLM agents into real-time interaction workflows. Definition of tools for LLM agents, tool calling, and MCP-like architectures. Design of APIs and services to connect users, agents, sensors, digital twins, and XR environments. Integration of the co-pilot with virtual human avatars and Unity/Open XR environments.

Development of explainable, controlled, and safe dialogue mechanisms for industrial and healthcare contexts. Integration with multimodal signals such as voice, interaction data, sensors, or user-state indicators. Deployment, testing, and validation of prototypes in collaboration with European partners. Contribution to scientific publications, technical documentation, and participation in international conferences. We do not expect you to master all of this from day one.