Senior Full Stack Engineer - AI Engineering

About Us

The Resilient Group is an established and scaling multi-company holding group with a portfolio spanning Technology / SaaS, Retail / E-commerce, and beyond. We believe AI is the most powerful tool available to modern businesses, and we're putting that belief into action — leveraging cutting-edge AI to solve real problems, build innovative products, and drive meaningful outcomes across our portfolio companies.

We're not just adopting AI as a trend — we're rebuilding how our businesses operate from the ground up with AI at the centre. This is an exciting time to join us as we accelerate our AI-native transformation and scale the platforms that power our group.

About the Role

We are building a fully AI-native development organisation, and we're looking for a Senior Full Stack Developer to sit at the centre of it. This isn't a traditional engineering role — it's a hybrid between a senior engineer, a technical architect, and an AI workflow orchestrator. You'll be responsible for designing and maintaining the processes, pipelines, and standards that allow our team to ship high-quality web and app platforms at pace, using AI coding tools as the primary development engine.

Key Responsibilities

AI-Powered Development & Orchestration

• Design, implement, and continuously improve an AI-first development lifecycle — from ideation and scaffolding through to testing, deployment, and maintenance.
• Serve as the internal authority on how AI coding tools are prompted, structured, and integrated into each phase of the SDLC.
• Build and maintain project configuration files, system prompts, and context documents that enable AI tools to produce consistent, high-quality output across all projects.
• Develop reusable prompting patterns, templates, and playbooks for common development tasks (feature builds, refactors, bug fixes, code reviews, migrations).

Full Stack Engineering

• Architect and deliver scalable web and mobile app platforms across the full stack (frontend, backend, APIs, databases, infrastructure).
• Establish and enforce technology standards, frameworks, and coding conventions that work well within an AI-native workflow.
• Conduct code reviews on AI-generated output, catching issues with logic, security, performance, and maintainability before they reach production.
• Own the integration layer between AI-generated code and production systems.

Pipeline & DevOps

• Design and manage CI/CD pipelines optimised for AI-assisted development workflows.
• Implement automated testing strategies (unit, integration, end-to-end) that validate AI-generated code reliably.
• Manage cloud infrastructure (AWS / GCP / Azure) and ensure deployments are automated, repeatable, and auditable.
• Monitor production systems and feed learnings back into development workflows and prompting strategies.

Team Enablement & Process Design

• Define the team's AI coding workflow standards — how tasks are broken down, how context is passed to AI tools, how output is reviewed and merged.
• Mentor and upskill team members on effective AI-assisted development practices.
• Act as a bridge between business requirements and technical execution, translating product goals into well-structured development briefs for AI coding tools.
• Evaluate and integrate emerging AI development tooling as the ecosystem evolves.

Required Experience & Skills

Technical

• 5+ years of professional full stack development experience.
• Strong proficiency in at least one modern frontend framework (React, Next.js, Vue, or Angular).
• Strong backend skills in one or more of: Node.js, Python, Go, or similar.
• Solid understanding of RESTful APIs, GraphQL, and microservices architecture.
• Experience with relational and non-relational databases (PostgreSQL, MySQL, MongoDB, Redis).
• Hands-on experience with CI/CD tooling (GitHub Actions, CircleCI, GitLab CI, or similar).
• Cloud platform experience (AWS, GCP, or Azure) including serverless, containers (Docker/Kubernetes),and managed services.

AI-Native Development

• Demonstrated experience working with AI coding tools such as Cursor, GitHub Copilot, or similar in a production setting.
• Strong ability to write effective prompts and structure context for AI coding assistants — you know how to get high-quality, consistent output.
• Understanding of how to review, validate, and refactor AI-generated code at scale.
• Comfort working in an environment where AI generates the majority of code and the human role is architectural, review-focused, and quality-driven.

Soft Skills

• Excellent written communication — you can document processes, write clear technical briefs, and create onboarding materials.
• Strong systems thinking — you can design workflows and processes, not just write code.
• High ownership mindset — comfortable driving decisions independently.
• Adaptable and curious, with a genuine enthusiasm for the frontier of AI-assisted engineering.

Nice to Have

• Experience building multi-tenant SaaS platforms.
• Nat