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 usingPython, Google Gemini and Google’s Agent Development Kit (ADK) .

- Integrate solutions with enterprise platforms such asMicrosoft 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 inPython , with attention to maintainability, modularity and testing.





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

- Experience integratingREST APIs , handling authentication and troubleshooting third‑party services.

- Working knowledge ofSQL and data validation.

- Familiarity with cloud environments, ideallyGoogle 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 withDOCX, 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 fiable 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.

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