Ai Engineer

Job ID: *****Location: SpainEmployment: FULL_TIMEPosted: **********Consultant: Rob AllyAI 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:Be part of a start-up office within a global organisationCutting edge AI projectsCompetitive Salary PackageWhat you'll be doing:With AI at your core – Actively engage with a wide range of business functions to leverage your deep machine learning knowledge and exposureDesign and delivery of systems and machine learning models that solve commercially impactful real world problemsFraming business problems and commercial opportunities into AI problems - judgement and acumen to understand the true business need beyond the obvious stated requirementsChallenging current systems and processes to achieve common goals through technical excellence and innovationKeeping abreast of progress in AI and technology trends that will keep our client at the forefront of what is possible in their sectorHaving impact from day one – the client will empower and trust the AI engineers to leverage their skillsetsKey requirements: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 EuropeDeep understanding of theoretical machine learning fundamentals as well as practical knowledge of how to build real world ML systemsDirect 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 .
NetExperience working with SQL databasesAzure or AWS experienceAn entrepreneurial nature, willing to take ownership and run towards problems and someone who thrives on innovationThe ability to own all aspects of an AI project from start to finishFinancial Services experience a bonus, but is not essential