AI-Native Engineer (Software Engineering) at PALO IT | AU | Rezi

AI-Native Engineer (Software Engineering) at PALO IT

AI-Native Engineer (Software Engineering)

PALO IT · AU

1 weeks ago

AI-Native Engineer (Software Engineering)

PALO IT · AU

11 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This role suits individuals passionate about AI and reinventing software engineering to deliver faster, higher-quality products. You will join a team exploring how to evolve ways of working to be AI-First and leverage rapidly advancing LLMs and AI coding tools. As an AI-Native Engineer, you will build AI-powered products and solutions for clients, contributing across the entire project lifecycle from discovery and scoping through pilot and production to adoption. The foundation is full-stack engineering, working across frontend and backend, and building range across product, architecture, and infrastructure. You will think and build like a product engineer, contributing to taking a product from journey to pilot to production, and caring about adoption and value creation as much as code elegance. This is a hands-on engineering role within a consulting environment, working alongside client teams to translate business problems into working systems that deliver measurable impact.

Responsibilities

  • 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.
  • 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.
  • 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.

Requirements

  • 2-5 years of professional software development experience.
  • 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.
  • Demonstrated initiative and ownership: you drive outcomes rather than wait for instructions.
  • 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.
  • 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.
  • 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.

Skills

  • ReactJS
  • Node.js
  • Java
  • .NET
  • AI coding assistants (GitHub Copilot, Claude Code, Cursor)
  • AI-native development
  • Prompt engineering
  • Context engineering
  • Output validation
  • Critical review of AI-generated code
  • Full-stack development
  • Frontend development
  • Backend development
  • Product engineering
  • Architecture
  • Infrastructure
  • Pair programming
  • Knowledge sharing
  • Client requirement gathering
  • Stakeholder communication
  • DevOps workflows
  • CI/CD pipelines
  • Cloud platforms (Azure, AWS, GCP)
  • LLMs
  • Generative models

Location

  • Sydney

Work Type

  • Hybrid
  • Full-time

Experience Level

  • 2-5 years

Benefits

  • 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

About the Company

  • Building the AI-first frontier enterprise.
  • A global technology consultancy with a trademarked, AI-first approach—Gen-e2™.
  • Redefines how enterprises build digital products and transform their organizations with AI.
  • Proud to be a World Economic Forum New Champion, and a B Corp-certified company.
  • Small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities).
  • Becoming an agentic organization, adopting the AI-native operating model.
  • Robust and resilient (100% independent, 0 debt, founded 2009).
  • AI-native professionals who invest in what we believe and work as a collective intelligence.
  • Positive, courageous and deliver at the leading edge.
  • Clients include some of the world's most successful companies.
  • 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.

Equal Opportunity

  • 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.