Engineer specializing in cognitive AI, autonomous agents and human interaction

EURAXESS Ireland; Madrid; Presencial; EUR 60.000 - 95.000; Jornada completa

Descripción de la vacante

Funditec is seeking a Cognitive AI Researcher to design, implement, and validate AI solutions that interpret language, reason about objectives, and interact with humans in security, robotics, cybersecurity, and defense domains.

The candidate will lead experiments, develop agents with LLMs and memory, and collaborate with teams to ensure reproducible ML pipelines using Git, Docker, MLflow, and DVC within a cutting-edge R&D environment in Madrid.

Formación

• Experience in cognitive AI, agents, and human–machine interaction.
• Strong background in AI/ML model design and evaluation.
• Familiarity with AI safety, security, and defense applications.
• Ability to design and run experiments with traceable workflows.

Responsabilidades

• Implementation of cognitive AI modules: language understanding, intent classification, entity extraction, constraints, and context.
• Development of Agents and Interactive Systems: LLMs, RAG, embeddings, memory, tools, and decision flows.
• Cognitive, Behavioral, and Human Factors Modeling: attention, memory, perception, decision-making, mental load, learning, trust.
• Experimentation, Evaluation, and Data Analysis: train, validate, and compare AI models; document preprocessing.

Conocimientos

Python

C++

PyTorch

TensorFlow

Hugging Face

scikit-learn

Pandas

NumPy

Deep Learning

LLMs

RAG

Prompting

Git

Docker

CI/CD

ROS2

Computer Vision

Statistics

Experimental Design

Behavioral Analysis

Herramientas

GitHub

GitLab

Descripción del empleo

Organisation/Company Funditec Research Field Engineering » Communication engineering Researcher Profile Other Profession Positions Master Positions Application Deadline 28 Sep 2026 - 09:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Funditec (Technological Foundation) promotes applied R&D projects to address critical challenges in digital transformation and security. The Funditec Intelligence unit leads AI/ML-based initiatives aimed at achieving real impact in sectors such as cybersecurity, defense, and dual-use systems.

Job Purpose

We are seeking a candidate with expertise in Cognitive AI, Agents, and Human Interaction who combines technical skills in artificial intelligence engineering with an understanding of human factors, cognitive psychology, human-machine interaction, and the evaluation of people-centered intelligent systems. The role is focused on supporting the design, implementation, testing, and validation of cognitive AI solutions capable of interpreting language, processing context, reasoning about objectives, generating plans, interacting with humans, and supporting decision-making or automation tasks in the fields of security, robotics, cybersecurity, and defense.

Key Responsibilities

Implementation of cognitive AI modules

• Implement components for language understanding, intent classification, entity extraction, constraints, and context.
• Develop prototypes for generating structured specifications, plans, task trees, or conceptual behavior trees.

Development of Agents and Interactive Systems

• Collaborate on the development of agents based on LLMs, RAG, embeddings, memory, tools, and decision flows.
• Implement human-machine interaction tests using text, voice, graphical interfaces, simulators, or robotic environments.

Cognitive, Behavioral, and Human Factors Modeling

• Define conceptual frameworks based on attention, memory, perception, decision-making, mental load, learning, and trust.
• Translate psychological and cognitive constructs into measurable variables applicable to AI systems.

Experimentation, Evaluation, and Data Analysis

• Conduct experiments to train, validate, and compare AI models.
• Prepare datasets, clean data, document preprocessing workflows, and ensure experimental traceability.

Generative AI, Multimodal Models, and Decision Support Systems

• Use LLM APIs and frameworks for generation, classification, extraction, reasoning, and evaluation tasks.
• Implement basic or intermediate workflows involving prompting, embeddings, RAG, vector stores, and response evaluation.

MLOps, Quality, Security, and Documentation

• Use Git, GitHub/GitLab, and best practices for collaborative development.
• Support reproducible pipelines using MLflow, DVC, Docker, notebooks, and basic CI/CD.

Technical Skills

• Programming: Python as the primary language; C++ is a plus.
• AI/ML Frameworks: PyTorch, TensorFlow, Hugging Face, scikit-learn.
• Data: Pandas, NumPy, visualization, notebooks, data cleaning, and analysis.
• Deep Learning Fundamentals: CNNs, RNNs/LSTMs, transformers, and basic generative models.
• Basic to intermediate knowledge of LLMs, embeddings, RAG, prompting, model APIs, and agents.
• Version control: Git, GitHub/GitLab.
• A plus: Docker, MLflow, DVC, CI/CD, ROS2, audio processing, computer vision, or simulators.
• Applied statistics, experimental design, and behavioral analysis.

Work at FUNDITEC

Joining our team means working in a cutting-edge and unique environment that will allow you to participate in technological development and innovation, offering solutions adapted to current economic and social needs. If you consider yourself a strong team player who also has a high degree of autonomy, if you are capable of contributing solutions and ideas and are an analytical person, don't wait any longer. This is the project for you, and we want to meet you!