AI Engineer to join a leading Madrid based global alternative investment fund with a focus on AI and Data. You will be part of an exciting journey associated with a start-up within a global fund. As the AI Engineer , part of this role will be to help build the culture and environment as our client expands their footprint, working with LLM, AI and theoretical machine learning fundamentals.
Please note – Candidates must be able to show academic excellence via a bachelor's degree in computer science, mathematics, a hard science, or a related field, ideally from top tier universities in the UK or Europe.
This role will be fully office based in their Madrid location. If you are a UK applicant (or non-EU), you must have Spanish residencia (TIE Card).
What's on offer to you?
- Be part of a start-up office within a global organisation
- Cutting edge AI projects
- Competitive Salary Package
What You Will Be Doing
- With AI at your core – Actively engage with a wide range of business functions to leverage your 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 obvious 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 our client at the forefront of what is possible in their sector
- Having impact from day one – the client will empower and trust the AI engineers to leverage their skillsets
What You Will Need to Succeed in This Role
- Essential - Demonstration of academic excellence via a bachelor's degree in computer science, mathematics, a hard science, or a related field, ideally from a UK Russell Group university or top tier university in Spain or Europe
- 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
- 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
- Financial Services experience a bonus, but is not essential