Madrid - AI Engineer
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
Responsibilities
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 science, mathematics, a hard science, or a related field from a top university
Why join us?
Push the boundaries of what is possible, and re-imagine how bleeding edge AI can be used to deliver commercial value
You can have an impact from day one – we empower and trust our engineers to leverage their skillsets
Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends
Deliver demonstrable business value working hand-in-hand with the customer
Learn from industry experts on how financial markets and world economies work
Ownership of technical products and projects – our engineers actively engage with a wide range of business functions to leverage their knowledge and exposure