Senior AI Platform Engineer — Remote, AWS & Python

Radley James; España; Remote; EUR 80,000 - 113,000; Full time

Benefits offered by this job

Remote work within EU/EEA/UK

Contract until end of 2026

Up to €70/hour

Job summary

Radley James collaborates with a major international financial organisation to recruit a Senior AI Platform Engineer who will build an enterprise platform supporting AI agents, tools and integrations. This hands-on role blends AWS engineering, Python development and technical leadership.

You will translate architecture into production services, guide implementation decisions and help establish a secure, reliable foundation for enterprise AI adoption, while mentoring developers and collaborating

Qualifications

• 7+ years of software engineering with strong AWS and Python.
• Experience designing APIs, enterprise integrations and reliable production services.
• IaC experience using Terraform, AWS CDK or CloudFormation.
• Strong CI/CD, automated testing and DevOps practices.
• Knowledge of IAM, OAuth2, OIDC and cloud security.
• Experience with Bedrock, AgentCore, MCP and AI orchestration.
• Ability to lead technical implementation while remaining actively involved in development.

Responsibilities

• Lead implementation of an AI Skills Registry, including service APIs, metadata management, publishing and approval workflows.
• Build integrations with Amazon Bedrock AgentCore and/or Amazon Q and enterprise systems.
• Develop Python services and REST APIs using AWS technologies, including Lambda and EventBridge.
• Build infrastructure as code, CI/CD pipelines and deployment automation.
• Establish automated testing, monitoring and operational tooling.
• Review designs, identify implementation risks and mentor developers with the Solution Architect.

Job description

Radley James collaborates with a major international financial organisation to recruit a Senior AI Platform Engineer who will build an enterprise platform supporting AI agents, tools and integrations. This hands-on role blends AWS engineering, Python development and technical leadership.

You will translate architecture into production services, guide implementation decisions and help establish a secure, reliable foundation for enterprise AI adoption, while mentoring developers and collaborating