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AI Engineer — Python & Agentic AI

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Spain
Work type
Hybrid
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AI Engineer — Python & Agentic AI

About the role

At InnoIT, we are looking for AI Engineers to help build practical, production-ready AI solutions for an international automotive organisation.

You will work alongside our architects, the client’s developers and business teams to turn business requirements into reliable AI-powered workflows. Initial use cases include supplier invoice enquiries and legal document review, with opportunities to contribute to additional business areas.

This is a software engineering and integration role with a strong applied AI component, rather than a research or model-training position.

What you will do

  • Develop AI agents and workflows using Python, Google Gemini and Google’s Agent Development Kit (ADK).

  • Integrate solutions with enterprise platforms such as Microsoft 365, SharePoint, Outlook and BigQuery.

  • Build reusable APIs, connectors and Python libraries that can support multiple use cases.

  • Combine LLM capabilities with deterministic logic for document comparison, data validation and business rules.

  • Implement human-in-the-loop workflows, ensuring that sensitive decisions remain with the appropriate business teams.

  • Collaborate directly with business users to clarify requirements, demonstrate progress and incorporate feedback.

  • Contribute to implementation plans, task estimates and weekly delivery milestones.

  • Write automated tests and support integration testing, user acceptance testing and production deployment.

  • Implement logging, error handling, auditability and safeguards for confidential information.

  • Produce clear technical documentation and support handover to internal teams.

What we are looking for

  • Practical experience developing software in Python, with attention to maintainability, modularity and testing.

  • Hands-on experience building applications with LLMs, including tool calling, structured outputs or agent-based workflows.

  • Experience integrating REST APIs, handling authentication and troubleshooting third-party services.

  • Working knowledge of SQL and data validation.

  • Familiarity with cloud environments, ideally Google Cloud Platform.

  • Experience with Git, code reviews and automated testing.

  • An understanding of how to make AI applications reliable, including output validation, evaluation and appropriate use of deterministic rules.

  • The ability to take ownership of implementation tasks while communicating risks and asking for support when needed.

  • Good communication skills in English for technical and business collaboration.

Nice to have

You do not need experience with every technology below:

  • Google Gemini, ADK or Gemini Enterprise.

  • Microsoft Graph, SharePoint Online, Outlook or Teams integrations.

  • BigQuery and batch-processing workflows.

  • Document processing with DOCX, OOXML or XML, including document comparison and comments.

  • Retrieval-augmented generation (RAG) and knowledge-base integrations.

  • OAuth 2.0, application identities and least-privilege permissions.

  • CI/CD, deployment automation, monitoring and rollback procedures.

  • Experience working with finance, legal or other enterprise business processes.

How you work matters

We are looking for someone who:

  • Enjoys working closely with developers and business users—not in isolation.

  • Takes a pragmatic approach: prototypes quickly, tests assumptions and strengthens validated solutions for production.

  • Is curious, adaptable and comfortable learning unfamiliar tools.

  • Uses AI-assisted development thoughtfully and verifies the results.

  • Values reliable delivery and shared team success over unnecessary complexity.

You do not need to be an expert in every framework. Strong engineering fundamentals, motivation and a collaborative mindset are essential.

What you can expect

  • Hands-on work on real business problems, beyond standalone demos.

  • Collaboration with architects, developers and business specialists.

  • Opportunities to build reusable components across multiple AI initiatives.

  • Involvement throughout the delivery lifecycle, from requirements through production and handover.

🎁 Qué ofrecemos

- 🏠 Trabajo Híbrido

- 💶 Salario según experiencia.

- 📈 Proyecto estable y de largo plazo con impacto real en negocio.

- 🧭 Plan de carrera personalizado con el apoyo de nuestras orientadoras laborales y seguimiento cercano de tu manager.

- 📚 1.000 € anuales para formación, orientados a tu plan de carrera.

- 🍽️ Comida gratis los miércoles en nuestras oficinas de Madrid y Barcelona, si te apetece pasarte a conocer al equipo.

🤝 Sobre Inno IT

Somos una consultora tecnológica con sedes en Barcelona y Madrid, especializada en proyectos de software, data, inteligencia artificial. Trabajamos con más de 50 clientes de diferentes sectores y les acompañamos en sus retos tecnológicos más importantes.Buscamos encaje técnico y también cultural, porque queremos que crezcas con nosotros a largo plazo. 🚀

¿Quieres conocernos mejor? Echa un vistazo a lo que hacemos y descubre el ambiente que se respira en Inno IT:

- 💼 Síguenos en LinkedIn: https://www.linkedin.com/company/innoit-consulting/

- 🎤 Únete a nuestra comunidad Meetup, con más de 2.300 miembros, donde organizamos eventos, meetups y conferencias tech: https://www.meetup.com/Meetup-de-InnoIT-Consulting-en-Barcelona/

¿Te encaja? ¡Inscríbete y hablamos! 🙌

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