Job Opportunities API

Our Culture    An exciting aspect of joining a newly created business at this stage is the opportunity to be in from the start and help define the culture. Part of this role will be to help build the culture and environment in Madrid as we expand our footprint.   There are things that we won’t compromise on though:   We are looking for exceptional talent with excellent communication skills   Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users   Curiosity is something we embrace and value highly    We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities    People need to be able to take ownership and be trusted to deliver, going the extra mile when needed - we don’t believe that the value of AI comes from models alone   We want people who are highly motivated and have a high desire to learn      R esponsibilities    Ownership of technical products and projects with AI at their core – our engineers actively engage with a wide range of business functions to leverage their deep machine learning knowledge and exposure   Design and delivery of systems and machine learning models that solve commercially impactful real world problems   Framing business problems and commercial opportunities into AI problems - judgement and acumen to understand the true business need beyond the stated requirements   Challenging current systems and processes to achieve common goals through technical excellence and innovation   Keeping abreast of progress in AI and technology trends that will keep us at the forefront of what is possible   Having impact from day one – we empower and trust our AI engineers to leverage their skillsets   What makes a great candidate    Deep understanding of theoretical machine learning fundamentals as well as practical knowledge of how to build real world ML systems   Direct experience leveraging LLMs in production, and an in depth understanding of prompt design, agentic workflows, eval harnesses, retrieval pipelines, etc.   Exposure to LLM inference stack fundamentals such as KV Caching, Speculative Decoding, Parallel Decoding, and test-time compute ideas.   Excellent programming, technology, and system design skills, including an in-depth understanding of and recent programming experience with Python and ideally one of C++, Java, or .Net   Experience working with SQL databases   Azure or AWS experience    A strong enthusiasm for programming and technology and an appetite to work in a dynamic and integrated team   An entrepreneurial nature, willing to take ownership and run towards problems and someone who thrives on innovation    The ability to own all aspects of an AI project from start to finish    A desire to understand and solve business problems, build domain knowledge and increase market understanding   The ability to communicate clearly and professionally with our clients as well as team members   Financial Services experience a bonus, but is not essential    Bachillerato grades of 9.0 and above, and at least a 7.0 in a bachelor’s degree in computer