AI Engineer - Python & Agentic AI

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., * 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

• 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.