AI Engineer — Python & Agentic AI

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

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

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

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

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

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

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

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

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

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

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Produce clear technical documentation and support handover to internal teams.

What we are looking for

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

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

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

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Working knowledge of SQL and data validation.

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Familiarity with cloud environments, ideally Google Cloud Platform .

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Experience with Git, code reviews and automated testing.

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

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

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Good communication skills in English for technical and business collaboration.

Nice to have

You do not need experience with every technology below:

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Google Gemini, ADK or Gemini Enterprise.

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Microsoft Graph, SharePoint Online, Outlook or Teams integrations.

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BigQuery and batch-processing workflows.

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

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

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OAuth 2.0, application identities and least-privilege permissions.

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

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

How you work matters

We are looking for someone who:

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

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

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Is curious, adaptable and comfortable learning unfamiliar tools.

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Uses AI-assisted development thoughtfully and verifies the results.

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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

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

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Collaboration with architects, developers and business specialists.

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Opportunities to build reusable components across multiple AI initiatives.

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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!