AI Engineer (AI Platform & Data Engineering)

Location: Remote, Spain. Candidates must be based in Spain and have the existing right to work in Spain. Visa sponsorship and relocation support are not available.

Salary: €60,000–70,000 per annum, depending on experience.

Company

hirify.global delivers customizable, mission-critical communication solutions for remote sites worldwide and operates a modern data lakehouse platform on AWS.

What you will do

• Design, build, and operate document, data ingestion, chunking, embedding, vector storage, and retrieval pipelines for AI applications.
• Productionize LLM applications as reliable services with APIs, containerized deployments, observability, cost monitoring, and access control.
• Integrate AI workloads with Kafka streaming, batch sources, query layers, time-series stores, and the AWS lakehouse platform.
• Build evaluation, logging, feedback, data quality, governance, security, and privacy infrastructure for production AI systems.
• Develop and maintain core data pipelines while improving platform reliability, performance, and efficiency.
• Collaborate with data scientists, engineers, DevOps, and business stakeholders; participate in Agile ceremonies and evaluate new AI platform technologies.

Requirements

• 3–5 years of experience in software engineering or data engineering, including hands-on AI/LLM application development.
• Commercial Python experience and strong SQL skills in any major SQL dialect.
• Experience developing and maintaining production data pipelines.
• Experience integrating foundation model APIs such as Amazon Bedrock, Anthropic, or OpenAI.
• Hands-on AWS experience with services such as Lambda, Step Functions, S3, ECR, and Glue, including AWS security best practices.
• Experience containerizing applications with Docker and building and operating APIs and backend services.
• Understanding of data quality, data governance, and data engineering best practices.
• Experience with Git and Agile/Scrum environments.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

Nice to have

• Experience with Confluent Kafka, Avro/Schema Registry, Kafka Connect, or Apache Flink.
• Experience with Apache Iceberg, Parquet, medallion architectures, dbt, Dremio, or TimescaleDB.
• Experience with vector search, retrieval infrastructure at scale, agentic frameworks, tool use, or MCP.
• Experience with Infrastructure as Code, including CloudFormation or Terraform, and CI/CD pipelines.
• Experience monitoring and optimizing cloud and AI workload costs.
• Understanding of GDPR and data governance principles.
• Advanced AWS expertise or relevant AWS certifications.

Culture & Benefits

• Remote work from Spain within a global communications company.
• Cross-functional work with colleagues and clients worldwide.
• Opportunities to develop skills across departments and progress through internal promotion.
• Work on diverse, high-stakes communication projects in an industry undergoing major transformation.
• Equal opportunity employment environment.