Základní

AI Engineer

españa, Spain Společnost: JR Spain Klient / Zaměstnavatel: Eblex Group
Zveřejněno: 28.05.2026
Datum uzavření: 12.07.2026
Pracovní reference: 880491284707200204832460

Informace o pracovních pozicích

Poloha
españa, Spain
Společnost
JR Spain
Klient / Zaměstnavatel
Eblex Group
Pracovní reference
880491284707200204832460
Typ záznamu
Základní
Vyžaduje se pracovní povolení EU
Ne
Zveřejněno
28.05.2026
Datum uzavření
12.07.2026

Popis práce

AI Engineer (Front-End Focused) – Clinical AI Platform

Spain (Remote / Hybrid)

Eblex Group is supporting a fast-growing European clinical AI company in the search for an AI Engineer with a strong front-end focus to support the continued expansion of its AI-driven clinical development platform.

The company develops intelligent software solutions designed to improve how biotech and pharmaceutical organisations manage clinical development, operational workflows, and data-driven decision-making. This role will focus on building highly intuitive, scalable, and modern user interfaces that allow clinical teams to interact effectively with AI-powered tools and insights.

This is an excellent opportunity for an engineer who enjoys working at the intersection of AI, UX, and modern software engineering within a fast-growing international environment.

The Role of AI Engineer Front End

You will play a key role in designing and developing user-facing applications and interfaces for AI-powered clinical products. Working closely with backend engineers, AI teams, and product stakeholders, you will help deliver scalable front-end solutions that simplify complex clinical and operational data.

Key Responsibilities of AI Engineer Front End

  • Design and build modern, responsive front-end applications and interfaces for AI-driven clinical platforms
  • Develop highly interactive dashboards and data visualisation tools for clinical and operational users
  • Collaborate with backend and AI engineering teams to integrate machine learning outputs into production applications
  • Optimise user experience, performance, and scalability across platform components
  • Translate complex workflows and datasets into intuitive user experiences
  • Contribute to front-end architecture, component libraries, and development standards

Technical Requirements of the AI Engineer

  • Strong front-end engineering experience using React, TypeScript, Next.js, Vue.js, or similar frameworks
  • Experience building scalable and responsive web applications
  • Understanding of API integration and modern front-end architecture
  • Experience working alongside AI/ML or data engineering teams
  • Familiarity with cloud environments and modern development workflows
  • Strong understanding of UI/UX principles and performance optimisation

Preferred Experience of AI Engineer

  • Exposure to AI-enabled products or data-intensive platforms
  • Experience within healthcare, biotech, SaaS, or clinical technology environments
  • Familiarity with clinical or healthcare data standards is advantageous
  • Experience working in international or scaling technology businesses

This search is being conducted exclusively by Eblex Group .

For confidential consideration, please apply directly or contact Eblex Group for more information.

Dovednosti

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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