AI Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, develop, and manage document and data ingestion, chunking, embedding, vector storage, and retrieval pipelines.

• Transform LLM-powered applications into dependable services featuring APIs, containerized deployments, observability, cost monitoring, and access control.

• Integrate AI workloads within the data lakehouse platform, incorporating Kafka streaming, batch sources, query layers, and time-series storage.

• Construct and uphold evaluation, logging, and feedback systems for AI applications in a production environment.

• Create and sustain data pipelines while ensuring data quality, reliability, platform performance, and efficiency.

• Apply security, privacy, and governance best practices for AI systems managing company data.

• Collaborate with data scientists, AI engineers, software engineers, and business stakeholders.

• Engage in Agile ceremonies, backlog grooming, sprint planning, and prioritization.

• Assess and facilitate the adoption of new AI platform technologies, tools, and architectural strategies.

⛳️ Requirements

• Candidates must be located in Spain.

• Must possess the right to work in Spain.

• Visa sponsorship and relocation assistance are not provided.

• 3–5 years of experience in software engineering or data engineering, with practical exposure to AI/LLM application development.

• Commercial expertise in Python and strong SQL proficiency.

• Experience in developing and maintaining production data pipelines.

• Familiarity with integrating foundation model APIs such as Amazon Bedrock, Anthropic, or OpenAI.

• Practical experience with AWS services including Lambda, Step Functions, S3, ECR, and Glue, along with AWS security best practices.

• Experience in containerizing applications using Docker.

• Proven track record in building and managing APIs and backend services.

• Understanding of data quality, data governance, and data engineering best practices.

• Proficient in using Git and experienced in Agile/Scrum environments.

• Strong analytical and problem-solving abilities.

• 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

• Opportunity to enhance skills through cross-departmental collaboration.

• Internal promotion framework with chances to acquire new titles and responsibilities.

• Engage in diverse projects with clients from various industries globally.

• Collaborate with a global team, working with clients and colleagues across all continents.