Cognitive AI & Human-Interaction Systems Engineer

Euraxess; Madrid; On-site; EUR 55,000 - 75,000; Full time

Job summary

Funditec is seeking a Cognitive AI Researcher to join the Intelligence unit. You will design and validate AI systems capable of interpreting language, reasoning about objectives, and assisting decision-making in security, robotics, and defense.

The role emphasizes human-centered evaluation and robust experimentation. Applicants should have strong Python expertise, experience with AI frameworks, and familiarity with LLMs, embeddings, and RAG workflows.

Qualifications

• Experience in cognitive AI, agents, and human interaction.
• Ability to translate cognitive constructs into measurable variables.
• Experience designing and evaluating AI systems for security, robotics, or defense.
• Proficiency with Python and AI/ML frameworks.

Responsibilities

• Implement cognitive AI modules for language understanding and context.
• Develop agents and interactive systems with LLMs, RAG, and memory.
• Conduct human-machine interaction tests across modalities.
• Define frameworks for attention, memory, perception, and decision-making.
• Experiment, train, validate, and compare AI models; ensure reproducibility.

Skills

Python

C++

PyTorch

TensorFlow

Hugging Face

scikit-learn

Pandas

NumPy

LLMs

Embeddings

RAG

Prompting

Model APIs

Agents

Git

GitHub/GitLab

Docker

MLflow

DVC

CI/CD

ROS2

Computer Vision

Simulators

Statistics & Experimental Design

Behavioral Analysis

Education

PhD or Master in a related field

Tools

Docker

MLflow

DVC

ROS2

GitHub/GitLab

Job description

Funditec is seeking a Cognitive AI Researcher to join the Intelligence unit. You will design and validate AI systems capable of interpreting language, reasoning about objectives, and assisting decision-making in security, robotics, and defense.

The role emphasizes human-centered evaluation and robust experimentation. Applicants should have strong Python expertise, experience with AI frameworks, and familiarity with LLMs, embeddings, and RAG workflows.