📈Check out the development opportunities in the Software Engineering team

🏢This is a Hybrid role, the Software Engineering Team works from our London (Moorgate) Office 2 days per week

AI Engineering at Capital on Tap

We're building a small team of ~3 AI-specialist software engineers who embed directly within product teams to deliver intelligent features. Rather than operating as a separate unit, you'll work alongside existing teams as an internal consultant, helping them deliver AI-powered capabilities whilst building their skills through hands-on collaboration and structured training. Part of the role has a hand in upskilling the wider Engineering department through workshops, documentation, and knowledge transfer.

What You’ll Be Doing
You'll partner with product teams to build and deliver AI features, working embedded within their squad structure. Your role is to enable teams to successfully deliver AI capabilities while upskilling them to own the features long-term.

• You’ll build robust and scalable solutions using .Net technology
• From the first line of code to production, monitoring, and continuous improvement - you’ll own the SDLC
• Teamwork makes the dream work - you’ll partner with Product Managers, QA’s, and fellow Software Engineers
• You’ll build bulletproof unit and integration tests to keep our software sharp and our users happy
• Bugs happen. When they do, you’ll be ready to troubleshoot and tweak as needed
• You’ll bridge the gap between tech speak and business goals, ensuring everyone’s on the same page and moving forward together

We’re Looking For 🔎
Required skills:

• 4+ years hands-on experience in C#, .NET Core
• Good testing practices, in both Unit and Integration testing
• Good understanding of database technologies
• Experience in using Agile development practices
• A passion for learning new skills and technologies
• A proactive, supportive, and collaborative team player

Nice to have:

• Experience sharing knowledge through training sessions or workshops, helping other teams get the most out of tools or systems you've built.
• Practical experience building backend applications or service wrappers that integrate with AI APIs or LLMs

Interview Process 🤝

1. First stage: 30-minute intro, CV review, and values with Talent Partner
2. Second stage: 45-minute “Tech Chat” with our Engineering Manager
3. Final stage: 90-minute Code Pairing + 30-minute Values Interview

Diversity & Inclusion🌈
We welcome, consider and encourage applications from anyone who shares our commitment to inclusivity. Join us in creating a space where authenticity thrives, and everyone can do their best work.