AI Engineer

About the role

## Responsibilities • Design, build, and operate document and data ingestion, chunking, embedding, vector store, and retrieval pipelines • Productionize LLM-powered applications as reliable services with APIs, containerised deployments, observability, cost monitoring, and access control • Integrate AI workloads with the data lakehouse platform, including Kafka streaming, batch sources, query layers, and time-series stores • Build and maintain evaluation, logging, and feedback infrastructure for AI applications in production • Develop and maintain data pipelines while ensuring data quality, reliability, platform performance, and efficiency • Implement security, privacy, and governance best practices for AI systems handling company data • Collaborate with data scientists, AI engineers, software engineers, and business stakeholders • Participate in Agile ceremonies, backlog grooming, sprint planning, and prioritisation • Evaluate and support adoption of new AI platform technologies, tools, and architectural approaches ## Requirements • Candidates must be based in Spain • Existing right to work in Spain required • Visa sponsorship and relocation support are not available • 3–5 years of experience in software engineering or data engineering, with hands-on exposure to AI/LLM application development • Commercial experience with Python and strong SQL skills • Experience developing and maintaining production data pipelines • Experience integrating foundation model APIs such as Amazon Bedrock, Anthropic, or OpenAI • Hands-on experience with AWS services including Lambda, Step Functions, S3, ECR, and Glue, plus AWS security best practices • Experience containerising applications using Docker • Experience building and operating APIs and backend services • Understanding of data quality, data governance, and data engineering best practices • Experience using Git and working in Agile/Scrum environments • Strong analytical and problem-solving skills • Excellent communication and stakeholder management skills • Preferred experience with Confluent Kafka, Avro/Schema Registry, Kafka Connect, Apache Flink, Apache Iceberg, Parquet, medallion patterns, dbt, Dremio, TimescaleDB, vector search, agentic frameworks, MCP, Infrastructure as Code, CI/CD, cost monitoring, GDPR, and advanced AWS expertise or certifications ## Benefits • Ability to develop skills through cross-departmental work • Internal promotion system with opportunities to gain new titles and responsibilities • Work on diverse projects with customers from a range of industries worldwide • Global team collaboration with clients and colleagues across every continent

Posted Nov 6, 2026