Software Engineer (AI Development)

They’re looking for Software Engineers who have been immersed in Agentic Engineering’; using AI coding tools as a fundamental tenet of your day-to day.

The Software Engineer won’t just write code. You’ll explore how AI can improve the entire SDLC, whilst driving AI Adoption internally + ensuring quality output!

Ultimately you will think about what tools to use, help teams adopt best practices and see if other teams can benefit too!

Looking at AI-coding zero to 1. Think research, planning, building, implementing, coaching and working cross functionally!

What You’ll Be Doing

1) Software Engineering

2) Problem solving, experimentation and collaboration.

You’ll:

• Build and deliver AI-enabled software solutions from concept through to production
• Use AI-assisted development tools to improve software engineering and delivery
• Explore and implement agentic AI workflows and techniques for reliable automation
• Help engineering and product teams adopt AI-enabled development practices
• Develop reusable engineering approaches, examples and best practices
• Ensure solutions align with architectural patterns, coding standards and performance requirements
• Work across engineering, architecture, security, QA and platform teams
• Help teams understand both the capabilities and limitations of AI within software development

• Bachelor’s degree in Computer Science, Software Engineering or a related discipline, or equivalent commercial experience
• 3+ years’ commercial experience in Software Engineering (full-stack)
• Hands on experience with AI driven engineering tools, such as:

-Cursor

-Compound Engineering or similar approaches/tools

• Experience with agentic AI workflows and steering techniques for reliable automation
• Strong OOP skills using Java, Python or C#
• Experience with CI/CD pipelines and DevOps practices
• Knowledge of AWS, Azure or GCP
• Strong understanding of software engineering standards, architecture and performance
• Must be permanently based in Northern Ireland with the relevant Right to Work
• RAG architectures, embeddings and context management
• Docker and Kubernetes
• Software security best practices and compliance
• Automated testing frameworks and QA processes

AWS certification or equivalent cloud certification