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# AI Platform Engineer

- **Company:** Ocho People
- **Location:** Belfast, UK
- **Experience:** Experienced
- **Salary:** £64,006.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Continuous Integration, Cursor (Graphical User Interface Elements), DevOps, Python (Programming Language), Software Tools, Software Engineering, TypeScript, GitHub Copilot, Multi-Agent Systems, State Machines, Cloudformation, Event Driven Architecture, AI Platforms, Infrastructure Automation Frameworks, AWS Fargate, Apache Kafka, Virtual Agents, Functional Programming, Cloudwatch, Api Gateway, Microservices
- **Published:** September 5, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5871008805

## About the Role

* 4+ years' experience in software engineering, with significant microservice-driven Java experience
 * Strong AWS experience (ECS/Fargate, Lambda, API Gateway, Step Functions, CloudFormation, CloudWatch)
 * Experience with AWS AI services, particularly Amazon Bedrock
 * Experience with Infrastructure as Code, CI/CD and DevOps in an Agile environment
 * Experience with AI-driven engineering tools (e.g. GitHub Copilot, Claude Code, Cursor, Amazon Q/Kiro)
 * Right to work in Northern Ireland (no sponsorship available)

Desirable

 * AWS certification, including AI/ML or Bedrock-specific training
 * Hands-on experience with agent frameworks or orchestration tooling (Bedrock AgentCore, Strands, LangGraph, MCP)
 * Experience building or contributing to an internal developer platform
 * Event-driven architecture/messaging experience (Kafka, AWS MSK)
 * Familiarity with Python or TypeScript
 * Experience delivering across time zones with US-based teams

## Description

As Agentic AI Platform Engineer, you'll help build the secure AWS-based platform that other teams across the business use for AI products - taking ideas from design through to production, and making sure the platform stays reliable, easy to use and genuinely useful for real business work. This is a hands-on role: building services, improving quality, supporting teams that use the platform, and feeding what you learn back into the roadmap, while shaping engineering decisions early in the capability's life., * Build and maintain the AWS-based platform used across the business for AI products

 * Take ideas from design into reliable, production-ready services
 * Apply the platform to real use cases and support it once live
 * Solve practical problems around reliability, quality and cost
 * Create reusable engineering patterns for other teams to build on
 * Partner closely with QA, Product, Architecture and Production Support


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