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 sólido 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!

📌 AI Engineer — Python & Agentic AI (Madrid)
🏢 InnoIT
📍 Madrid