Uni Systems

Web Developer & AI Engineer

🇪🇸 Sevilla, ES Hybrid IT Full time Posted Apr 22, 2026
LocationSevilla, ES
WorkplaceHybrid
EmploymentFull time
CategoryIT
IT CategoryFull Stack Engineer
PostedApril 22, 2026
Last verifiedMay 7, 2026

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Web Developer & AI Engineer to join our UniQue Seville team.

The role focuses on designing, developing, and maintaining digital tools and platforms that enable efficient collection, processing, analysis, and communication of data and technical content in support of EU product and sustainability policy.

The successful candidate will work closely with researchers and policy experts to translate operational and scientific needs into robust, user-friendly technical solutions. Key areas include web application development, AI-driven document processing, data engineering, and interactive data visualization.

In this role, you will have the opportunity to work closely with our customers in the public sector and you will be responsible for developing new business by identifying profitable opportunities, maintaining your client portfolio by building strong, long-lasting relationships, and monitoring the progress of the projects, with the aim to provide excellent client service and added value services.

What will you be bringing to the team?

  • Design and build interactive, user-friendly web applications
  • Develop the ESPR methodology compendium as a structured, navigable online platform
  • Implement features such as content organisation, search, user roles, and access control
  • Ensure high usability and publication-quality design standards
  • Build data pipelines for extracting, cleaning, and structuring data from multiple sources (PDFs, APIs, databases, web)
  • Design and maintain relational and non-relational databases
  • Develop tools for data analysis and quality assurance
  • Support dashboards and internal analytical tools for policy studies
  • Develop AI-powered tools for document processing and content generation
  • Apply NLP techniques such as classification, summarisation, topic modelling, and sentiment analysis
  • Integrate large language models (LLMs) into production workflows
  • Support automated generation of structured technical documents and manuals
  • Create dashboards and visual analytics tools for non-technical users
  • Communicate complex datasets in clear and accessible formats
  • Support policy analysis and decision-making through interactive tools
  • Develop tools to process and analyse consultation feedback and textual data
  • Extract structured insights from unstructured documents and reports
  • Support evidence-based policy development through data-driven analysis
  • Design data models supporting Digital Product Passport initiatives under ESPR
  • Develop internal tools for project tracking and timesheet analysis
  • Support workflow automation and internal data management systems
  • Ensure compliance with EU and European Institution's data governance and security policies
  • Handle sensitive and confidential data responsibly
  • Collaborate closely with PPA scientists, European Institution's IT services, and related teams

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