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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Research Engineer | Enterprise Ai - **Company:** Nuevo - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Debugging, Graph Database, Python (Programming Language), Machine Learning, Modular Design, Rapid Prototyping Process, Software Engineering, SQL Databases, Large Language Models, Deep Learning, Containerization, Machine Learning Operations, Virtual Agents, Software Version Control, Data Pipelines, Docker - **Published:** September 29, 2026 - **Apply:** https://www.adzuna.es/details/5902042169 ## About the Role Deep understanding of machine learning fundamentals, including classical machine learning, deep learning, model training, and model failure modes. Extensive, advanced experience with Python and SQL. Strong practical experience with large language models and AI agent workflows. Deep expertise in model fine-tuning and experimental evaluation. Ability to debug complex algorithms and diagnose unreliable or inconsistent model behaviour. Strong software engineering skills, including modular design, documentation, version control, and reproducible code and data pipelines. Experience taking machine learning solutions into production using Docker or similar container technologies. Advanced understanding of MLOps and end-to-end machine learning pipelines. Ability to work autonomously, set priorities, and solve complex problems in ambiguous environments. Clear communication and presentation skills for technical and non-technical stakeholders. Experience mentoring team members and providing technical or research leadership. Desirable: PhD in a relevant technical field. Previous experience in an academic or industrial AI research laboratory. Published research in leading AI or machine learning conferences or journals. Experience with knowledge graphs. Experience developing university or academic research partnerships. ## Description The product combines complex business data, machine learning, large language models, and AI agents to help organisations make faster, more informed decisions. The business has established teams across Europe and the United States and is continuing to invest heavily in its AI and research capabilities. Its technology is already used in complex enterprise environments, with research teams working closely with engineering and product to turn advances in AI into measurable improvements for customers. Role As an AI Research Engineer, you will join a small, highly technical research team working on advanced AI projects that directly shape the product. You will combine rigorous research with practical engineering, focusing on large language models, AI agents, model fine-tuning, and wider machine learning systems. Design and run reproducible experiments involving large language models, AI agents, fine-tuning, and other machine learning systems. Investigate model convergence issues, inconsistent outputs, and unreliable behaviour across different architectures. Develop clean, modular, well-documented code and robust end-to-end research pipelines. Select appropriate frameworks and tools for rapid prototyping and production-ready development. Define research priorities based on their potential product and business impact. Turn research findings into practical improvements for data science, machine learning engineering, and product teams. Use MLOps and containerization practices to support reliable deployment into production. Communicate technical findings clearly to both specialist and non-technical audiences. Mentor colleagues, delegate work effectively, and help engineering teams adopt valuable research advances. Build relationships with universities and support the publication of high-quality research at leading AI conferences. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)