AI Developer

Aspire Software

AI first product building

• Build working product solutions using AI as the default approach across coding, testing, debugging, documentation and technical research
• Rapidly prototype, iterate and refine solutions to validate ideas and accelerate delivery
• Use AI agents and AI assisted workflows to generate designs, implementations, tests and supporting documentation
• Contribute to H&L s move toward an agentic product and software delivery model

Problem analysis and solution design

• Analyse customer and business problems deeply before execution
• Break ambiguous problems into solvable components and evaluate multiple solution paths
• Make informed trade-offs between speed, quality, maintainability, security and customer value
• Apply strong engineering and product judgment to architecture, design and implementation decisions

End to end engineering delivery

• Build modern, scalable frontend applications using React/Angular and TypeScript
• Design and implement robust backend services using Node.js
• Develop and maintain clean, secure and well-structured RESTful APIs
• Design sound data models and work effectively with relational and non-relational databases
• Support cloud native services in AWS environments
• Work with Docker, CI/CD pipelines and automated deployment practices
• Ensure strong automated test coverage across unit, integration and end to end layers

Product and customer value

• Partner with Product, Design, Support and customer facing teams to ensure solutions solve real customer problems
• Participate in customer demos and explain how solutions work and why key design decisions were made
• Incorporate customer and operational feedback into fast iteration cycles
• Help ensure shipped capabilities drive measurable adoption, usage and business impact

Quality, governance and reliability

• Evaluate and improve AI generated outputs for correctness, security, maintainability and fitness for purpose
• Work within approved AI engineering patterns, tooling standards, review practices and security guardrails
• Ensure solutions meet both functional and non-functional expectations
• Support reliable operation in production and continuously improve performance, resilience and maintainability
• Contribute to engineering review standards for AI generated code, tests and documentation

Platform evolution

• Develop new product capabilities
• Integrate customer driven project work into the core platform where appropriate
• Remove legacy layers and consolidate functionality into a scalable SaaS architecture
• Refactor incrementally and safely within complex and evolving codebases

What this role is not

• Not a traditional software developer role focused only on ticket execution
• Not limited to coding work handed off without context or ownership
• Not bound by rigid SDLC stages that separate thinking from building
• Not an AI experimentation role without accountability for quality, adoption and outcomes

What success looks like

• Success in this role will be measured through:
• Reduced cycle time from problem definition to working solution
• High quality and reliable shipped outcomes
• Strong adoption and usage of delivered capabilities
• Improved engineering leverage and throughput
• Contribution to customer and commercial outcomes
• Effective use of AI without compromising quality, security or judgment

Frontend

• Deep experience with React, Angular and TypeScript in production grade applications
• Strong proficiency in modern JavaScript, HTML5 and CSS3
• Experience designing scalable and maintainable frontend architectures
• Experience integrating RESTful APIs

Backend

• Extensive experience designing and implementing backend systems using Node.js
• Strong experience building RESTful APIs
• Solid understanding of relational databases, data modelling and query optimisation
• Experience with asynchronous processing and system integration

Core capabilities

• Strong ability to build working software using AI tools and AI assisted engineering workflows
• Experience rapidly prototyping and iterating on product ideas
• Understanding of AI system behaviour, limitations and failure modes
• Ability to reason across systems end to end
• Comfort moving independently from problem statement to implementation
• Ability to evaluate and improve AI generated outputs
• Strong debugging and problem-solving capability
• Strong understanding of software quality, testing and maintainability

Testing and quality

• Experience writing automated unit and integration tests
• Familiarity with end-to-end testing frameworks such as Cypress, Jest, TestCafe or similar
• Strong understanding of test strategy and testable architecture
• Experience working with CI/CD pipelines and automated test execution

Cloud and operations

• Experience working in AWS hosted SaaS environments
• Experience with Docker and containerised deployments
• Experience troubleshooting production systems

General engineering

• Strong architectural thinking across the full stack
• Experience working in complex and evolving codebases
• Proven ability to refactor legacy systems incrementally and safely
• Strong debugging and performance optimisation skills
• Experience mentoring engineers or leading technical initiatives

Nice to have

• Experience with event driven systems such as Kafka
• Familiarity with monitoring and observability tooling
• Experience integrating AI APIs into business workflows
• Knowledge of DevOps best practices and infrastructure automation
• Experience in hospitality, retail, POS, or other multi-site operational SaaS environments