高级软件工程师
Senior Software Engineer
REX SOFTWARE GROUP
高级职位描述
AI 原生高级软件工程师
汇报对象
工程负责人(或相关技术负责人)
直接下属
无(在产品流和更广泛的工程团队中进行非正式的技术指导)
地点
澳大利亚(东海岸优先 / 远程办公)
范围
产品流的技术领导,对 AI 原生标准和实践有跨流影响
领域
AI 原生软件开发、AI 代理编排和产品交付
职位概述
Rex Software Group 正在向 AI 原生运营模式转型。这不是在传统开发流程中添加 AI 功能,而是我们构建和发布软件方式的根本性转变。我们的目标是达到 Level 4 AI 成熟度:人类定义架构、使用场景和验收标准,而 AI 代理自主编写、审查和修复代码。
AI 原生高级软件工程师是一个面向已经以这种方式工作的开发者的高级工程角色,你将为其他人树立标准。你将被嵌入到一个产品流(Rex CRM 或 Rex PM)中,作为该流中最资深的 AI 原生实践者,期望使用 AI 编码代理作为主要开发工具交付生产级别的软件,并期望塑造整个流以及随着时间推移整个工程组织如何与 AI 代理协作。
你不是手动编写每一行代码,而是编排 AI 代理来完成这些工作,审计它们的输出,并确保结果符合代码库的架构和质量标准。这明确不是一种“感觉编码”角色。在高级别上,你还需对所在流的技术决策和 AI 原生实践负责,而不仅仅是你自己的产出。
这个角色需要不同于传统高级软件工程师的背景。你必须具备工程成熟度,能够识别 AI 生成的代码是否正确、高效且安全,并具备判断力,能够在足够高的水平上设定他人遵循的标准。你必须能够像高级工程师指导初级开发者一样,以耐心、精准和清晰的期望,为 AI 工具提供建设性的、架构层面的反馈,同时你也必须同样自如地指导人类工程师如何做到这一点。
关键职责
AI 原生产品开发与技术领导
- 在你负责的产品流中使用 AI 编码代理交付高质量的功能和修复
- 主导制定和推广 AI 原生开发的最佳实践
- 协调 AI 代理的工作流程,确保代码质量和一致性
- 审核 AI 代理的输出并进行必要的调整
- 与团队成员分享 AI 原生开发的经验和见解
- 与产品和工程团队合作,推动 AI 原生能力的持续提升
查看英文原文
REX SOFTWARE GROUP
Senior Position Description
AI Native Senior Software Engineer
Reports to
Head of Engineering (or relevant Tech Lead)
Direct Reports
None (informal technical mentoring across the product stream and wider engineering team)
Location
Australia-based (East coast preferred / Remote AU)
Scope
Product stream technical leadership, with cross-stream influence on AI-native standards and practices
Domain
AI-native software development, AI agent orchestration, and product delivery
Role Overview
Rex Software Group is transitioning to an AI-native operating model. This is not about adding AI features to a traditional development process, it is a fundamental shift in how we build and ship software. Our target is Level 4 AI maturity: humans define the architecture, usage scenarios, and acceptance criteria, while AI agents autonomously write, review, and fix code.
The AI Native Senior Software Engineer is a senior engineering role for builders who already work this way and can set the standard for others to follow. You will be embedded within a product stream (Rex CRM or Rex PM) as its most experienced AI-native practitioner, expected to deliver production-quality software using AI coding agents as your primary development tool, and expected to shape how the rest of the stream, and over time the wider engineering organisation, works with AI agents.
You are not writing every line of code by hand, you are orchestrating AI agents to do it, auditing their output, and ensuring the result meets the architectural and quality standards of the codebase. This is explicitly not a “vibe-coding” role. At senior level, you also carry accountability for the technical decisions and AI-native practices of your stream, not just your own output.
This role requires a different profile to a traditional senior software engineer. You must have the engineering maturity to recognise when AI-generated code is correct, performant, and secure, and the judgement to know when it is not, at a level that lets you set standards others follow. You must be comfortable providing constructive, architectural feedback to AI tools the same way a senior engineer coaches a junior developer, with patience, precision, and clear expectations, and you must be equally comfortable coaching human engineers in how to do the same.
Key Responsibilities
AI-Native Product Development & Technical Leadership
- 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
Engineering Quality & Architecture
- 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
Mentoring, Collaboration & Knowledge Sharing
- 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
What We Are Looking For
Essential
- 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
Desirable
- 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
Key Competencies
- 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 Measures
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
Why Join Rex Now
- 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
Confidential
Originally posted on Himalayas