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# Engineer - AI Platform

- **Company:** Ebury
- **Location:** Málaga, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, BigQuery, Data Governance, Data Infrastructure, Data Transformation, Data Security, Data Warehousing, Python (Programming Language), Metadata, Automated Data Processing (ADP), Large Language Models, AI Platforms, Api Design
- **Published:** June 13, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=aa44f34d7e2b1d29

## About the Role

Do you have experience in Python?, Do you have a Master's degree?, * Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills

 * Platform engineering experience building internal platforms consumed by other engineering teams
 * Strong software engineering fundamentals: API design, reliability, testing, and operability
 * Experience building secure systems - authentication/authorization, audit logs, least-privilege access, and governance controls
 * Hands-on experience operating production services on GCP, including services such as Vertex AI, BigQuery, Cloud Run, and Cloud Functions
 * Proficiency in Python for building platform services, data transformation, and tooling
 * Experience with agentic or LLM-based systems in production (evaluation, drift monitoring, prompt safety) is a strong plus
 * Familiarity with data governance concepts - lineage, traceability, access controls - and data platform ecosystems is encouraged
 * Fluency in English (Spanish, a plus)

## Description

As an AI Platform Engineer, you will work closely with the rest of the Data Platform team and cross-functional domain teams to design and deliver the platform capabilities that let Ebury ship AI and agentic products safely and at scale., * Design and deliver core components of Ebury's Agentic Data Plane, including agent-to-agent (A2A) communication, the Agent Tool Registry, and governed data access layers

 * Build platform primitives for secure tool use coordination, including "on behalf of" (OBO) patterns, centralized policy guardrails, and audit logging with full replayability
 * Provide end-to-end observability for agentic products: data dependencies, traces, evaluation signals, and accountability as a day-one requirement
 * Integrate the ADP with the Data Platform's governed foundations - catalog, metadata, data warehouse, and vector retrieval
 * Collaborate with domain teams to onboard pilot agents and help them adopt platform standards and runtime patterns
 * Drive innovation and explore emerging technologies (LLM evaluation, prompt safety, agent memory) to enhance our AI platform capabilities


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