AI-specialized Fullstack with English (Madrid)

About the role

We are Métrica, a business consultancy, systems integration, IT services and solutions company, committed to the Information Society and technological development.

We are looking for a Data & AI / Fullstack Software Engineer with experience in application development and data integration and a high level of English, for an enterprise-scale project related to applications, data, Artificial Intelligence, and high-performance data transfer.

What you'll do

• Full-Stack development and integration of enterprise applications.

• Design and implementation of data pipelines and integrations.

• Implementation and support of solutions based on IBM Aspera for high-performance data transfer.

• Participation in Machine Learning, Generative AI, NLP, LLM, and RAG projects.

• Modernization and integration of existing applications and platforms.

• Direct collaboration with technical teams and clients on enterprise projects.

• Onsite participation at the client's facilities when the project requires it. Knowledge and experience

What you'll get

• Permanent contract.
• Online training in areas of your interest.
• Hybrid work model in Madrid.
• Full-time schedule from Monday to Friday.
• Salary negotiable.

Requirements

- Experience in development with Python, Java, and/or JavaScript/TypeScript.

- Knowledge of Full-Stack technologies such as React, Next.js, Vue.js, Spring Boot, or NestJS.

- Knowledge of SQL, databases, and data integration.

- Experience or knowledge in Machine Learning and Artificial Intelligence.

- Experience with Docker and/or Red Hat OpenShift.

- Hands-on experience with IBM Aspera will be especially valued.

- Experience with IBM watsonx is desirable.

- Experience with CP4D is desirable.

- Experience with LangChain is desirable.

- Experience with LLM and RAG is desirable.

- Experience with Confluent/Kafka is desirable.

- Experience with Cloud technologies is desirable.

- Advanced level of English, both spoken and written.

- Availability to work in person at the client's facilities when the project requires it.