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.

AI Engineer — Python & Agentic AI

Empieza con tu correo