Senior AI Fullstack Engineer

About the role

This role shapes production AI platforms and partners with stakeholders to solve business challenges. The position operates within a Data & AI Squad and focuses on designing, building, and scaling reliable AI capabilities.

Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.

Key facts

Requirements

Hands on experience across Python, AI engineering and modern cloud technologies including AWS, ideally with experience building and scaling production ready agentic AI solutions.

Transform the future of AI at Zip by building production ready solutions that deliver real customer and business impact.

Hybrid working with team connection days in our Sydney or Melbourne office.

Strong experience developing AI solutions using Python together with modern cloud technologies such as AWS and Kubernetes.

Experience delivering scalable AI products using technologies including React or NextJS where appropriate.

Strong understanding of software engineering fundamentals, system design and operational excellence.

Ability to partner with technical and non technical stakeholders to solve complex business problems.

Experience mentoring engineers and influencing technical direction through collaboration and engineering leadership.

Excellent communication skills with a pragmatic approach to balancing customer outcomes, delivery speed and technical quality.

A mindset that embraces AI and new tools to adapt, learn and grow.

An aptitude for identifying and managing risks.

Our values in your DNA: Customer First, Own It, Stronger Together and Change the Game.

Practical notes

A degree is required.

Australian permanent residency or citizenship is required.

Typical interview steps

Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.

Good to know

Roles in this area commonly use Python, cloud platforms, and modern frontend frameworks to deliver data intensive applications.

Machine learning workflows often involve experimentation, production monitoring, and collaboration across specialist teams.

Clear communication with both technical and non-technical partners is essential in product focused environments.

Continuous learning and adaptability support success in fast moving technology domains.

Strong system design skills help balance delivery speed with reliability and security.

Questions to ask

Worth asking in any interview: how the team measures success, who the role works with daily, what the onboarding looks like, and what the company is trying to achieve this year. Asking what past hires did well is a strong final question. Keep the list short and pick the questions that matter most to you.

Career growth

Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.

About the company

Digital financial services span Australia, New Zealand, USA. Operations serve 6.0 million active customers. Annual transactions reach A$10.1 billion. Revenue totals A$4.0 billion. Cash gross profit hits A$1.0 billion. Fiscal year results reflect scale. Company focus remains financial services. Jobs seek talent for growth areas. Teams work on transaction systems and customer solutions. Opportunities exist across functions. Candidates join a large scale operator in multiple locations.