Engineer - AI Platform

📋 Description

• 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

🎯 Requirements

• 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 Vertex AI, BigQuery, Cloud Run, and Cloud Functions
• Proficiency in Python for building platform services, data transformation, and tooling

🎁 Benefits

• Competitive salary and benefits package
• Discretionary bonus based on performance
• Continued personal development through training and certification
• We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects