Senior Backend Engineer (Ruby), AI Engineering: AI Coding
Opus Recruitment Solutions
UK
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£156,000.0 - £195,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
JIRA
Continuous Integration
Programming Tools
Python (Programming Language)
Ruby on Rails
Ruby
Software Engineering
System Availability
Large Language Models
Multi-Agent Systems
Backend
+7 more
Gitlab
Build Management
AI Platforms
Slack
3-tier Architectures
Automation Anywhere
Jenkins
Job description
For one of our leading clients, we are searching for a highly experienced Senior Software Engineer (Ruby & AI Platform) to join their AI Events team. You’ll work closely with engineering, product, and design to build the event-driven infrastructure and trigger systems that power automated AI workflows across the software development lifecycle. Role Responsibilities
- Design and build trigger systems that connect GitLab events, including code pushes, merge request and issue changes, CI/CD results, and deployments, to AI-powered workflows
- Develop integrations for third-party events from tools such as Jira, Jenkins, and Slack
- Contribute to the core event platform that enables AI features to determine when and how workflows should run
- Architect systems for high availability, reliability, and throughput, ensuring events are processed effectively at scale
- Build and maintain production functionality within a large, established Ruby on Rails monolith
- Influence product and architecture direction by proposing iterative solutions to complex technical challenges across a multi-service environment
- Collaborate with engineering, product, design, and AI platform teams to expand trigger capabilities and support the wider agent ecosystem
- Participate in Tier 2 and Tier 3 on-call rotations, troubleshooting production, security, and urgent engineering issues
Requirements
- Have deep commercial experience with Ruby and Ruby on Rails, including working effectively within a large production monolith
- Have a proven track record building user-facing products that integrate Large Language Models
- Have extensive experience designing and operating large-scale systems focused on high availability and throughput
- Have hands-on experience developing agentic systems and workflows that allow AI agents to take autonomous action
- Demonstrate the ability to make progress in evolving problem spaces and learn emerging AI capabilities quickly
- Possess strong written communication skills for collaborating asynchronously within a remote, globally distributed team
- Additional experience with Python, developer tooling, or GitLab as a product would be beneficial
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