AIVA Revolution is building The AI-Powered Operating System for Modern Hospitality. Our platform brings guest engagement, employee intelligence and operational workflows together in one connected system, helping hospitality businesses deliver exceptional service at scale and drive stronger performance.

This role owns full-stack product engineering and AI-powered capability for that platform — from front-end experience through back-end services and production AI features. You’ll work in a hands-on, product-led, AI-first team, collaborating closely across Product, Engineering and Customer Delivery.

Create exceptional guest experiences across every channel.

Give every employee an AI advantage and consistent knowledge.

Run a smarter hospitality business, with clearer insight.

Reports to

Nacho Fernandez, Technical Director

Location

Remote within the UK, ideally based in Scotland

Salary

Up to £60,000, dependent on years of experience

Focus

Full-stack product engineering, AI and LLM-powered capabilities, and scalable cloud delivery

Build across the stack.

Design, develop and ship reliable front-end experiences, back-end services, APIs and data flows that work as one connected product.

Turn AI into useful product capability.

Build and improve LLM-powered features that solve real guest, employee and operational problems for hospitality teams.

Deliver with AWS Bedrock.

Design secure, observable and maintainable AI workflows using appropriate foundation models, retrieval patterns, guardrails and evaluation methods.

Work from customer problems.

Collaborate with Product and Customer Delivery to translate hospitality workflows into clear technical solutions and measurable product improvements.

Own production outcomes.

Take work from technical discovery and architecture through implementation, testing, release, monitoring and continuous improvement.

Design for trust and scale.

Protect customer data, manage performance and cost, and build resilient services for a growing multi-customer platform.

Raise engineering quality.

Strengthen code review, automated testing, documentation, deployment practices and pragmatic technical standards.

Help shape the platform.

Make sound architectural decisions, reduce unnecessary complexity and mentor colleagues through thoughtful technical leadership.

Complete product, platform and hospitality onboarding. Understand the current architecture, development workflow, AI services, customer priorities and the technical context for your first area of ownership.

Ship meaningful production work across the stack. Contribute to an AI or LLM-powered capability, strengthen tests and observability, and propose practical improvements to the engineering workflow.

Take clear ownership of a product or platform area. Deliver an end-to-end improvement, document the technical approach and help establish repeatable engineering practices for future development.

Success will be measured through the quality, reliability and commercial usefulness of what you help the team deliver, including:

• Consistent delivery of well-designed, tested and maintainable production software, with reliable full-stack ownership from user experience through services, integrations and data.
• Useful AI capabilities supported by clear evaluation, monitoring, security and cost awareness.
• Platform performance, resilience, observability and reduction of avoidable technical risk.
• Strong collaboration with Product, Engineering and Customer Delivery, with practical improvements to code quality, documentation, development velocity, release confidence and positive technical leadership.
  

• At least five years’ commercial software engineering, including building and operating production web applications.
• Full-stack capability using Angular and developing secure, scalable backend services and APIs.
• Delivery of AI or LLM capabilities within production business applications, with an understanding of quality, reliability and responsible deployment.
• Hands-on knowledge of AWS, including Amazon Bedrock and AWS Lambda.
• Proficiency with PostgreSQL or a comparable relational database, including data modelling, performance and data integrity.
• Engineering discipline across APIs, authentication, integrations, source control, automated testing, code review, CI/CD, security and technical documentation.
• Ability to navigate ambiguous problems, make sound technical decisions and take work from initial definition through to production.
• Regular use of AI-assisted development tools within the everyday engineering workflow.
• The organisational skills, ownership and maturity to create structure within a fast-moving environment.
• Native-level or fully professional English, with clear communication across technical and non-technical teams.
  

• Hospitality technology, including PMS, CRS, CRM, guest engagement, booking or revenue management platforms, with knowledge of Oracle OPERA or OPERA Cloud particularly relevant.
• Establishing or scaling an engineering team or technical function while remaining hands-on.
• Advanced AI implementation involving multiple models, retrieval and knowledge systems, agentic workflows, evaluation or monitoring.
• Multi-tenant SaaS products involving communications, workflow automation, analytics or payments.
  

Built for hospitality, by hospitality, AIVA brings guest engagement, employee intelligence and operational workflows together in one connected system. Through Engage, Empower and Operate, hospitality businesses create exceptional guest experiences, give every employee an AI advantage and run smarter operations. Growth is the outcome of bringing those capabilities together.

You’ll build technology that gives hospitality teams more capacity to deliver exceptional human service, while helping shape the engineering foundations of a platform designed to scale.

What you can expect

• Remote working anywhere within the UK, with Scotland as the preferred location.
• Salary of up to £60,000, dependent on years of experience.
• The opportunity to build one intelligent platform solving real hospitality challenges.
• Meaningful ownership across product, platform and AI engineering, with significant scope to shape technical decisions, engineering practices and your career as AIVA scales.
  

Please apply with your CV and a short note describing a production AI capability or full-stack product you have helped build, the technical decisions you owned and the outcome it created. Links to relevant work are welcome where they can be shared.

If the role fits your strengths but you don’t meet every point, we would still like to hear from you.