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Madrid - AI Engineer

Trabajo disponible en: 04810, Madrid, Andalucia, España
Empresa: Neptune North Limited
Tiempo completo puesto
Publicado en 2026-09-23
Especializaciones laborales:
  • Desarrollo de Software
    Ingeniero de IA, Machine Learning
Rango Salarial o Referencia de la Industria: 45000 - 85000 EUR Anual EUR 45000.00 85000.00 YEAR
Descripción del trabajo

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 arethings that wewon’tcompromise on though:

  • We are looking for exceptional talent with excellent communication skills
  • Collaboration is key,both internally and with our clients. Webelieve we do our best work when we are together and working hand in hand with business users
  • Curiosity is something we embrace andvalue highly
  • We want people who are positive and passionate,have proven problem solving capabilities, canwork quickly to find solutions to complex challenges and unlockbigopportunities
  • People need to be able to take ownership and be trusted to deliver, going the extra mile when needed- wedon’tbelieve that the value of AI comes from models alone
  • We want people who are highly motivatedandhave a highdesire to learn
R esponsibilities
  • Ownership of technical products and projects with AI at their core– ourengineersactively engage with a wide range of business functions toleveragetheirdeep machine learningknowledge and exposure
  • Design and delivery of systems and machine learning models that solve commercially impactfulreal 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 AIand technology trends that will keep us at the forefront of what is possible
  • Having impact from day one – we empower and trust ourAIengineerstoleveragetheir 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,
  • Experience working with SQL databases
  • 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 ofan AIproject from start to finish
  • A desire to understand and solve business problems, build domainknowledgeand 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
  • Bachilleratogrades of 9.0 and above, and at least a7.0in abachelor’sdegreeincomputer science, mathematics, a hard science, or a related field from a top university
  • Push the boundaries of what is possible, and re-imagine how bleeding edge AI can be used to deliver commercial value
  • You can have animpact from day one – we empower and trust ourengineerstoleveragetheir skillsets
  • Work on a wide variety of projectsalongside exceptionally talented people, oftenclosely correlated to world events and trends
  • Deliverdemonstrable business value working hand-in-handwith the customer
  • Learnfrom industry experts on how financial markets and world economies work
  • Ownership of technical products and projects – ourengineersactively engage with a wide range of business functions toleveragetheir knowledge and exposure
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