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Engineer specializing in cognitive AI, autonomous agents and human interaction

Ente di ricercaScadenza 28 settembre 2026
Ente
Funditec
Paese
Spagna
Campo di ricerca
Engineering » Communication engineering
Lingua dell’annuncio
Inglese
Tipo di contratto
Permanent
Profilo ricercato
Ingegnere dell'intelligenza artificiale
Titolo di studio
Master Degree or equivalent
Sede
Madrid, Spagna
Pubblicato il
Scadenza
28 settembre 2026

Descrizione

Engineer specializing in cognitive AI, autonomous agents and human interaction Sintesi in italiano (traduzione automatica): Funditec, una fondazione tecnologica, cerca un ingegnere specializzato in intelligenza artificiale cognitiva, agenti autonomi e interazione umana. La posizione è basata presso la sede di Funditec e prevede la progettazione, implementazione, test e validazione di soluzioni di intelligenza artificiale in ambiti come la sicurezza e la robotica. I candidati devono avere competenze tecniche in ingegneria dell'IA, conoscenze di psicologia cognitiva e interazione uomo-macchina. È richiesta una laurea in ingegneria informatica o un campo correlato, oltre a competenze in programmazione (Python, C++), framework di IA/ML e analisi dei dati. Funditec offre un ambiente innovativo e stimolante per contribuire allo sviluppo tecnologico e alle soluzioni per le sfide attuali. 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! Annuncio in inglese. Fonte: Euraxess (Commissione europea).

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Fonte: Euraxess (Commissione europea) · Servizio indipendente

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