Empleos actuales relacionados con AI Engineer - Barcelona - PepsiCo
-
Senior AI Engineer — Real-Time Voice
hace 1 día
barcelona, España Murphy AI A tiempo completoA cutting-edge AI technology company in Barcelona is seeking a Senior AI Engineer to lead the development of conversational AI systems that engage in empathetic debt recovery conversations. The role involves engineering AI agents, optimizing voice interactions, and implementing quality assurance processes. Candidates should have over 4 years of experience in...
-
Senior AI Engineer — Real-Time Voice
hace 5 días
Barcelona, España Murphy AI A tiempo completoA cutting-edge AI technology company in Barcelona is seeking a Senior AI Engineer to lead the development of conversational AI systems that engage in empathetic debt recovery conversations.Maximice sus posibilidades de que su candidatura sea seleccionada asegurándose de que su CV y sus habilidades se ajustan al perfil.The role involves engineering AI...
-
Sr AI Engineer
hace 5 días
Barcelona, España Murphy AI A tiempo completo1 week ago Be among the first 25 applicantsDescubra más sobre las tareas diarias, las responsabilidades generales y la experiencia requerida para esta oportunidad desplazándose hacia abajo ahora.About Murphy AIMurphy AI is revolutionizing debt collection through conversational artificial intelligence. We're building an advanced debt recovery platform where...
-
AI Platform Engineer
hace 6 días
barcelona, España Axiomatic Ai A tiempo completoAbout us: Axiomatic_AI is dedicated to accelerating R&D by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering, empowering engineers specifically in hardware design and Electronic Design Automation (EDA), with a mission to revolutionize the fields of hardware...
-
AI Engineer
hace 2 semanas
barcelona, España Axiomatic Ai A tiempo completoAI Engineer - Agentic AI for Scientific Workflows About us: Axiomatic_AI is dedicated to accelerating R&D by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering, empowering engineers specifically in hardware design and Electronic Design Automation (EDA), with a...
-
AI Engineer: Agentic Reasoning for Science
hace 2 semanas
barcelona, España Axiomatic Ai A tiempo completoA pioneering AI company in Barcelona is looking for an AI Engineer specialized in Agentic AI workflows. The role involves designing, prototyping, and testing AI pipelines, as well as collaborating with multidisciplinary teams to address complex problems in science and engineering. Ideal candidates will have a Master's degree in a relevant field, at least 2...
-
barcelona, España Axiomatic Ai A tiempo completoAn innovative AI technology firm in Spain is seeking an AI Platform Engineer to bridge AI research with production software. In this role, you will build and maintain AI infrastructure, deploy models, and optimize performance metrics. The ideal candidate will have over 7 years of software engineering experience, particularly in Python, as well as experience...
-
AI Engineer
hace 2 días
Barcelona, España Darwin AI A tiempo completoWe are looking for a highly motivated individual to join our AI Special Forces team. A person who is passionate about delivering fast, effective, and high-quality support to clients, and is driven by the potential of technology and AI. This role is perfect for someone who loves solving problems, is highly organized, and has a strong interest in technology...
-
AI Engineer
hace 2 semanas
barcelona, España Quadrivia AI A tiempo completoJoin to apply for the AI Engineer role at Quadrivia AI Own and evolve the core “brain” service that powers Qu. Design, build, and operate multi-agent LLM systems that communicate in real time over text and voice. Ship fast Python services with FastAPI, keep latency low, quality high, and evaluation continuous. What You’ll Do Own Qu’s brain service...
-
Real-Time AI Engineer — Low-Latency LLM Systems
hace 2 semanas
Barcelona, España Quadrivia AI A tiempo completoA leading AI technology firm in Barcelona is seeking an AI Engineer to develop and optimize their core service involving multi-agent systems. This role requires a strong Python background along with experience in real-time text and voice systems. Applicants should have at least 5 years in ML or backend engineering, with preferred knowledge of tools like...
AI Engineer
hace 3 semanas
We are seeking a Senior Data Scientist/AI Engineer specializing in AI Safety to lead adversarial testing, risk assessment, and safety evaluations for LLM- and agent-powered chatbot systems. This role focuses on ensuring that AI technologies are safe, reliable, and aligned with business and user needs across high impact use cases. You will join a collaborative interdisciplinary team to design, evaluate, and harden AI/ML systems against misuse, failures, and emerging risks. You will work closely with product owners, engineering teams, and business stakeholders to identify safety requirements, conduct adversarial assessments, and develop robust mitigation strategies. This role is highly technical and safety critical, with broad visibility and influence across the organization. RESPONSABILITIES AI Safety, Robustness & Risk Assessment Lead adversarial testing, including jailbreak attempts, prompt injection, harmful content generation, system prompt extraction, and agent tool misuse. Conduct end to end risk assessments for AI driven chatbots and autonomous agent systems, identifying hazards, evaluating exposure, and defining mitigation strategies. Build and maintain AI safety evaluation pipelines, including red team test suites, scenario-based evaluations, and automated stress testing. Define and monitor safety KPIs such as harmful output rates, robustness scores, and model resilience metrics. Analyze failure modes (e.g., hallucinations, deceptive reasoning, unsafe tool execution) and design guardrails to minimize risks. Technical Development & Collaboration Develop reproducible experiments for LLM behavior analysis, including prompt engineering, control mechanisms, and guardrail testing. Partner with data engineers and MLOps teams to integrate safety evaluations into CI/CD pipelines. Work with product teams to translate safety requirements into actionable technical specifications. Support model governance, including documentation, safety reports, and compliance with internal and external standards. Contribute to innovation and research around emerging safety methodologies for LLMs and agent architectures. Knowledge Sharing & Leadership Serve as an internal expert on AI safety best practices, adversarial testing methodologies, and robust system design. Provide guidance and mentorship to data scientists, engineers, and product partners on safe AI development. Create high-quality documentation, playbooks, and reusable tools for safety evaluations. QUALIFICATIONS Master’s degree in Computer Science, Data Science, Machine Learning, or related quantitative field. 4+ years of experience developing or evaluating machine learning systems, including LLM- or NLP-based applications. Strong knowledge of Generative AI and Transformer-based models. Experience with at least one deep learning framework (PyTorch, TensorFlow). Proficiency with Python and common data/ML libraries. Experience conducting model evaluations, experimentation, or reliability testing. Clear communication skills and the ability to translate technical findings into business relevant insights. Preferred Qualifications Experience with adversarial ML, red teaming, or AI safety research. Familiarity with safety testing frameworks such as automated red-teamers, harmful content classifiers, or jailbreak detection systems. Hands-on experience with LLM agents, tool-use orchestration, or autonomous systems. Knowledge of risk management frameworks (e.g., NIST AI RMF, ISO 42001) and Responsible AI principles. Experience designing safety guardrails, moderation layers, or policy enforcement mechanisms. Background in reinforcement learning or agent evaluation. Experience with cloud platforms (AWS, Azure, GCP) and MLOps workflows.
