Senior Software Engineer

• Deliver production-quality features and fixes within your assigned product stream using AI coding agents as the primary development tool, taking on the most architecturally significant or ambiguous work in the stream
• Set the technical direction for how AI agents are orchestrated within your stream, including standards for prompting, context management, and agent-generated code review
• Critically audit AI-generated code for correctness, performance, security, and adherence to Rex's coding standards, and coach other engineers to do the same
• Own and continuously improve the prompts, context documents, and system instructions (AGENTS.md, Skills, and related documentation) that train AI agents on Rex's architecture, patterns, and conventions for your stream
• Identify tasks best suited for AI-assisted development versus manual implementation, and help other engineers build this judgment
• Make or strongly influence build-vs-buy and architectural trade-off decisions within your product stream

• Own the system architecture within your stream, including database schemas, API contracts, service boundaries, and deployment pipelines, and ensure AI-native workflows respect and reinforce that architecture
• Lead technical design discussions, code reviews, and architectural decisions within your product stream, and act as an escalation point for complex technical judgement calls
• Set and maintain test coverage standards, ensuring AI-generated code is consistently accompanied by appropriate automated tests across the stream
• Debug and resolve the most complex issues across the stack, leveraging both manual investigation and AI-assisted diagnostic techniques
• Drive proactive identification and remediation of technical debt, balancing delivery speed with long-term code health at a stream level

• Mentor other engineers in AI-native development practices, prompting strategies, and workflow improvements, both within your stream and across the wider engineering organisation
• Work closely with product managers, designers, and fellow engineers within your product stream to shape and deliver against roadmap priorities
• Represent your stream's AI-native practices and progress to engineering leadership, contributing to group-wide AI development strategy
• Document effective patterns and failure modes, and drive adoption of these across teams
• Lead by example in sprint ceremonies, technical planning, and cross-stream knowledge sharing
• Support the broader engineering team in adopting AI-native development practices through hands-on collaboration, coaching, and structured knowledge transfer

• Several years of demonstrated experience building software using AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot, Cody, Aider, or equivalent) as a primary development tool, with genuine agent-driven development workflows, not just autocomplete
• A portfolio, GitHub profile, or personal projects that evidence a mature AI-native development approach, including evidence of setting standards or mentoring others in this way of working
• Deep software engineering fundamentals: strong command of system design, data structures, API design, testing strategies, and deployment practices, sufficient to confidently audit AI-generated output and coach others to do the same
• Senior-level engineering maturity to distinguish good AI-generated code from bad, including recognising subtle issues with performance, security, edge cases, and architectural fit that AI agents commonly miss
• Proven experience working across the full stack (frontend and backend), with the ability to context-switch between layers and take ownership of architecturally significant work
• A constructive and patient approach to working with AI tools, and demonstrated ability to coach and mentor other engineers, human or AI-assisted, with clear architectural feedback
• Strong communication skills and demonstrated ability to influence technical direction in a collaborative, cross-functional product team

• Experience with any of Rex's core technologies: PHP/Laravel, Vue.js/React.js, PostgreSQL/MySQL, Docker, Kubernetes, or GCP
• Experience in SaaS, proptech, or real estate technology environments
• Deep familiarity with prompt engineering techniques, context window management, and strategies for improving AI agent output quality at scale
• Contributions to open-source projects or public writing that demonstrate thought leadership in AI-native software development
• Experience leading or mentoring within agile product teams with end-to-end delivery ownership
• Prior experience helping a team or organisation transition to a new technical practice or operating model

• AI-native mindset — you default to AI-assisted development, continuously refine your own workflows, and help others do the same
• Engineering taste — you can assess code quality, architectural fit, and production readiness with authority, regardless of whether a human or an AI wrote it
• Technical leadership — you set direction, make judgement calls under ambiguity, and are trusted as an escalation point for your stream
• Pragmatic judgement — you know when to use AI agents and when to write code manually, and can teach that judgement to others
• Curiosity and adaptability — AI tooling evolves rapidly and you stay current, experimenting with new tools and techniques and sharing what you learn
• Ownership and accountability — you own the code and technical decisions across your stream, whether written by you, a teammate, or an AI agent
• Coaching and influence — you actively raise the capability of those around you and contribute positively to team and organisational culture

Success in this role will be demonstrated by:

• Consistent delivery of production-quality, architecturally significant features within your product stream, meeting sprint commitments and roadmap milestones
• A high proportion of your stream's deployed code is AI-generated, audited, and meeting quality standards, contributing to the group's target of 50% AI-written deployed code by August 2026
• Measurable uplift in the AI-native proficiency of engineers you have mentored or coached
• Positive impact on team velocity and delivery efficiency as evidenced by DORA metrics
• High-quality code reviews and technical decisions that demonstrate sound, senior-level engineering judgment across both human-written and AI-generated code
• Active contribution to Rex's AI development strategy, including documentation of effective patterns, prompts, and workflows adopted beyond your own stream
• Effective technical leadership within your product stream, with positive feedback from product managers, designers, and fellow engineers
• Demonstrated depth in AI-native development proficiency over time, with increasing sophistication in agent orchestration, output quality, and the ability to teach it

• You will be joining a company that is genuinely restructuring around AI-native development; this is not an innovation lab or a side project, it is how we are building the production line
• Work directly with experienced engineering and AI leadership who are invested in making this transition succeed and help shape it at a senior level
• Real ownership within a product stream, your work and technical decisions ship to production and impact thousands of real estate agencies across Australia, New Zealand, and the UK
• Opportunity to define the playbook for AI-native development at a company that is early in this transition and values people who bring ideas and leadership, not just execution
• PE-backed business with clear growth ambitions and the investment to support them