Who We Are
Building the AI-first frontier enterprise.
We are a global technology consultancy with a trademarked, AI-first approach—Gen-e2™. It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.
We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
We are robust and resilient (100% independent, 0 debt, founded 2009)
We are AI-native professionals who invest in what we believe and work as a collective intelligence
We are positive, courageous and deliver at the leading edge
Your Role
This role suits people passionate about AI and about reinventing software engineering to deliver faster, higher-quality products. You will join a team exploring every day how to evolve our ways of working to be AI-First and what's possible with rapidly advancing LLMs and AI coding tools.
As an AI-Native Engineer, you will build AI-powered products and solutions for our clients, contributing across the journey from discovery and scoping through pilot and production to adoption.
The work is varied: deploying an agentic AI workflow inside a major health insurer, standing up an AI-powered platform for a bank, or designing intelligent automation for a public sector agency. Our clients are Fortune 1000s across financial services, health, and the public sector, and the problems are real, ambiguous, and production-bound.
The foundation is full-stack engineering: you work across frontend and backend, and you're building your range across product, architecture, and infrastructure. We expect daily use of AI coding tools such as GHCP, Claude Code, Cursor or Codex to generate most of your requirements, code, and architecture diagrams, at least on side projects and ideally day-to-day.
You will think and build like a product engineer, not just think about the code. These are not staff augmentation placements: you contribute to taking a product from journey to pilot to production, and you care as much about whether it gets adopted and creates value as whether the code is elegant.
This is a hands-on engineering role within a consulting environment. You will work alongside client engineering, product, and domain teams, helping translate business problems into working systems that deliver measurable impact. You will be AI-native by default, applying PALO IT's Gen-e2TM methodology to drive quality, speed, and adoption. With Gen-e2TM we generate the large majority of the product with AI and deliver end-to-end 2-3x faster than traditional approaches. AI generates; engineers own. Your judgement and standards are what make the output production-grade, and we will train you to work with AI as part of your daily development workflow.
This role is based in Sydney. We operate a hybrid model with three days per week in our Sydney office or on client site, with the balance worked flexibly.
You'll work in small, high-performing interdisciplinary teams with pair programming, weekly knowledge-sharing sessions, and a supportive engineering community. As you grow, you'll spend increasing time with clients: gathering requirements, contributing in discovery sessions, and communicating your thinking clearly. If you enjoy seeing your work land with the people who use it, you'll thrive here.
Client Delivery
Deliver features and workstreams within your engagement, from prototype through to production, with support from senior engineers.
Contribute to fullstack development across frontend and backend.
Build AI-powered systems that deliver measurable client value.
Participate in code reviews, testing, and quality assurance.
Support DevOps workflows and contribute to CI/CD pipelines.
Flag risks and blockers early rather than sitting on them.
Consulting & Client Engagement
Work directly with client teams and build trust with technical and non-technical stakeholders.
Engage with clients to understand requirements and help shape solutions.
Communicate your thinking clearly: in the room, in writing, and in the code.
Bring field feedback to the team to sharpen how we deliver.
AI-Native & Gen-e2 Practice (Core Expectation)
Embrace AI-native ways of working, including AI-first development, testing, and documentation.
Apply prompt and context engineering, output validation, and critical review of AI-generated code.
Stay curious about emerging GenAI tools and bring practical ideas back to the team.
Who You Are
2-5 years of professional software development experience.
Experience with ReactJS for frontend development.
Experience with Node.js, Java, or .NET for backend development.
Hands-on experience with AI coding assistants (GitHub Copilot, Claude Code, Cursor), professionally or through substantial personal projects.
Solid understanding of programming fundamentals and design patterns.
Strong problem-solving, communication, and collaboration skills.
Comfortable working in cross-functional teams and engaging with stakeholders.
You are open to learning new stacks. We work across different client environments, languages, frameworks, and cloud platforms (Azure, AWS, GCP), and with AI as a learning tool, picking up something new is easier than ever. You don't need to tick every technology box; curiosity goes a long way.
Demonstrated initiative and ownership: you drive outcomes rather than wait for instructions.
AI-Native & Gen-e2 Skills (Required)
Hands-on use of AI tools in your engineering workflow.
Working grasp of prompt and context engineering.
Demonstrated use of AI tools in real engineering work, not just theoretical exposure. You should be able to show how AI is part of your working method.
Critical thinking to validate and verify AI-generated code and solutions.
Good to Have
TypeScript and modern JavaScript.
RESTful APIs, microservices, and cloud-native architectures.
Experience with cloud platforms (AWS, Azure, GCP).
DevOps practices and CI/CD pipelines.
Consulting or client-facing delivery exposure.
Experience building with LLMs or generative models.
More About PALO IT
Our clients include some of the world's most successful companies. We collaborate with leading enterprises, next-generation businesses and frontier partners, shaping what comes next, helping them scale AI and solve complex business and technology challenges.
What We Offer
Stimulating working environments
Unique career path
International mobility
Internal R&D projects (including Gen-e2™)
Knowledge sharing
Personalized training via PALO IT Academy
Entrepreneurship & intrapreneurship
For more on our team culture and benefits, check out our careers page.
We will be prioritizing applicants who have a current right to work in Australia, and do not require sponsorship of a visa.
PALO IT Australia is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT AU does not discriminate in employment opportunities or practices based on race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.
Protecting your privacy and the security of your data are longstanding top priorities for PALO IT.
Your data will be processed to manage PALO IT’s recruitment-related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.
Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request access, correction and/or withdrawal of your Personal Data.
PALO IT Sydney, New South Wales, AUS Office
Level 8, 11 York Street, Sydney, Australia, NSW 2000
