Básico

AI Engineer

españa, Spain Empresa: JR Spain Cliente / Empregador: SRG Network
Publicado: 28.05.2026
Data de encerramento: 12.07.2026
Referência de emprego: 129282380006424576032460

Informação do emprego

Localização
españa, Spain
Empresa
JR Spain
Cliente / Empregador
SRG Network
Referência de emprego
129282380006424576032460
Tipo de listagem
Básico
É necessária autorização de trabalho da UE
Não
Publicado
28.05.2026
Data de encerramento
12.07.2026

Descrição do cargo

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 their core – 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 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
  • AI Engineer | Madrid | AI | LLM | Python | LLM| C++| Java | .Net | SQL Databases 

    Job Information

    Job Reference: Salary: Salary From: £0Salary To: £0Job Industries: ITJob Locations: SpainJob Types: Permanent

    Apply for this Job

    AI Engineer

    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:

  • Be part of a start-up office within a global organisation
  • Cutting edge AI projects
  • Competitive Salary Package
  • What 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 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
  • AI Engineer | Madrid | AI | LLM | Python | LLM | C++| Java | .Net | SQL Databases

    Job summary:

    Key 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 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
  • Competências

    Agile Project Management Algorithms analyse big data analyse business requirements apply ICT systems theory apply systemic design thinking Artificial Neural Networks Assembly (computer programming) assess ICT knowledge build business relationships build predictive models build recommender systems Business Analytics Business Intelligence business process modelling C COBOL CoffeeScript Common Lisp computer programming Computer Simulation Computer Vision create data sets creatively use digital technologies Data Mining Data Models Data Science database development tools Deep Learning define technical requirements deliver visual presentation of data design application interfaces design database scheme design process develop creative ideas develop statistical software digital data processing Erlang Groovy Haskell ICT project management methodologies identify processes for re-engineering Information Architecture information categorisation Information Extraction information structure Java (computer programming) JavaScript lean project management LINQ Lisp manage business knowledge manage ICT data classification manage ICT semantic integration Matlab Microsoft Visual C++ ML (computer programming) N1QL Objective-C OpenEdge Advanced Business Language operational research Pascal (computer programming) perform dimensionality reduction Perl PHP principles of artificial intelligence Process-based management Prolog (computer programming) Python (computer programming) R resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) SPARQL Swift (computer programming) systems development life-cycle task algorithmisation TypeScript Unstructured Data use data processing techniques utilise machine learning VBScript Visual Basic visual presentation techniques

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