AI Engineer

Role overview Build and run the data and service infrastructure behind production AI applications. The work spans document and data ingestion, retrieval systems, APIs, deployment, monitoring, and security, alongside broader data engineering duties that support a lakehouse environment. You will collaborate with data science, engineering, operations, and business colleagues to deliver reliable AI capabilities.

Responsibilities - Develop ingestion, chunking, embedding, vector storage, and retrieval pipelines for AI applications. - Turn applications that use large language models into production services, including APIs, containerized deployments, monitoring, cost tracking, and access controls. - Connect AI workloads to streaming and batch data sources, query services, and time-series stores. - Maintain evaluation, logging, and feedback systems to assess applications in operation. - Contribute to data pipeline development, data quality, platform reliability, and performance improvements. - Apply security, privacy, and governance practices, and help assess new platform technologies and architectures.

Requirements - Three to five years in software or data engineering, including practical exposure to AI or LLM applications. - Commercial Python experience and strong SQL skills. - Experience building and maintaining production data pipelines and backend APIs or services. - Experience integrating foundation model APIs into applications. - Hands-on AWS experience, including cloud security practices, and experience packaging applications with Docker. - Knowledge of data quality, governance, source control with Git, and Agile or Scrum delivery; strong analysis, problem-solving, and communication skills.

Nice to have - Experience with Kafka, Avro, Schema Registry, Kafka Connect, or Flink; lakehouse formats and patterns such as Iceberg, Parquet, medallion architecture, or dbt. - Familiarity with Dremio, TimescaleDB, vector search systems, or retrieval infrastructure at scale. - Experience with AI agents, tool use, or the Model Context Protocol; infrastructure as code, CI/CD, and cloud or AI cost optimization. - Knowledge of GDPR and data governance principles.

Benefits and work setup - Remote role for candidates based in Spain who already have the right to work there; visa sponsorship and relocation support are unavailable. - Listed annual salary is €60,000–€70,000, depending on experience.