Lead Engineer, Backend Developer, AI Engineer (Applied​/Software)

• Own technical direction and delivery quality across one or two small teams
• Work alongside product managers and senior business stakeholders
• Build solutions as a hands-on individual contributor
• Mentor engineers and develop their judgement on using AI tooling
• Set standards for how technical problems are solved
• Be accountable for shipped deliverables
• Build and maintain integrations, MCP builds, API connections, and infrastructure supporting the GenAI platform
• Build systems, tools, and solutions in an AI-native way
• Represent engineering with senior stakeholders and translate between technical design and business needs
• Make technical debt visible, clarify trade-offs, and keep delivery pace predictable
• Contribute to engineering standards and improve the wider engineering function

• Production-grade software development experience, most likely in Python, C# .NET, or both (or similar)
• Engineering depth and strong systems thinking
• Knowledge of AI tooling fundamentals and how AI tooling works under the hood
• Fluency in AI-native engineering, including building natively in platforms and using AI-enabled tools
• Experience taking experiments through to production-grade ope rationalised solutions
• End-to-end delivery ownership in a team-based model
• Ability to surface problems early, present options, and keep stakeholders informed
• Ability to work directly and credibly with senior non-technical stakeholders
• Ability to translate technical constraints into business language without losing precision
• Experience using GenAI tools such as Copilot, Claude, or ChatGPT is desirable
• Willingness to work in a matrix structure

Demonstrates expertise in production-grade software development, particularly in Python and C# .NET, while effectively mentoring engineers and managing technical direction. Proficient in AI-native engineering and capable of translating complex technical concepts to non-technical stakeholders.

• Production-Grade Software Development
• Python
• C# .NET
• AI-Native Engineering
• GenAI Tools

• Software Development
• Systems Thinking
• AI Tooling Fundamentals
• End-to-End Delivery Ownership
• Technical Problem Solving

• Mentoring
• Stakeholder Communication
• Problem-Solving
• Collaboration

• Technical Direction
• Integration
• Delivery Quality
• Matrix Structure

• GenAI Tools
• API Connections
• MCP Builds
• AI-Enabled Tools