Skip to main content

AI Engineer

Stake
Sydney, NSW
hybrid
Full Time / Permanent

Stake is looking for an AI Engineer to join our Data & AI team at our new Sydney CBD offices within a hybrid working model!

We're an Australian investing platform that helps ambitious people confidently grow their wealth. By offering seamless, immersive access to the share markets, we've empowered a new wave of investors. Stake has grown fast from a fintech startup into a robust financial services company. Today we have 750,000+ customers and more than A$5 billion under administration.

At Stake, we break barriers in everything we do. Just like our customers, we're driven by ambition. Our desire for continuous growth is what creates the collaborative and high-performance environment we work in. Though we're spread around the world, we're a unified team moving towards a shared vision: to unleash the investor in everyone. Join us as we continue to reshape the financial industry, inspiring investor confidence and celebrating our wins along the way.

Why this role matters

AI will play a significant role in how Stake builds products, serves customers and operates as we continue to scale. This role sits at the centre of that transformation. As an AI Engineer, you'll help shape how generative AI is embedded across Stake. You'll work on products used by hundreds of thousands of customers, while also unlocking new ways for teams across the business to move faster, make better decisions and deliver exceptional experiences.

You'll join a high-performing team with the autonomy to experiment, the ambition to tackle meaningful problems and the opportunity to see your work create real impact. From customer-facing experiences to internal AI systems, you'll help turn emerging technology into practical, scalable solutions that move the business forward.

Reporting to the Head of Data and AI, you'll partner closely with engineers, product managers and data specialists to design, build and deploy AI-powered products and platforms. You'll play a key role in defining how AI is applied at Stake and help establish the technical foundations that support our next phase of growth.

What you'll do
  • Build AI-powered products and experiences that create meaningful value for customers and teams across Stake.
  • Lead the design, development and deployment of production-grade generative AI systems across GCP.
  • Architect scalable AI infrastructure, services and workflows that enable rapid experimentation and reliable delivery.
  • Partner with product, engineering, operations and data teams to identify high-impact opportunities where AI can unlock better outcomes.
  • Evaluate emerging models, frameworks and techniques, translating new advances into practical applications for the business.
  • Establish engineering standards, patterns and best practices for AI development across Stake.
  • Write high-quality, maintainable code and contribute to a culture of technical excellence, ownership and continuous improvement.
What success looks like
  • You've delivered multiple AI-powered products and capabilities that create measurable impact for customers and teams across Stake.
  • Teams across the business rely on AI systems you've helped build to improve productivity, automate complex workflows and unlock better decision-making.
  • You've established scalable patterns, platforms and engineering standards that make it easier for Stake to build and deploy AI products with confidence.
  • You're recognised as a technical leader in AI, influencing architecture, product strategy and how Stake adopts emerging technologies.
  • You've helped foster a culture of experimentation, learning and high-quality execution that continues to elevate AI capability across the company.
You'll thrive here if…
  • You're energised by building. You enjoy turning ambitious ideas into products that solve real problems and create measurable impact.
  • You combine technical depth with strong judgement. You know when to explore, when to simplify and when to ship.
  • You stay curious. New models, tools and techniques emerge constantly, and you're excited to evaluate what matters and apply it thoughtfully.
  • You think beyond the model itself. You care about product experience, reliability, scalability and how AI solutions perform in the real world.
  • You take ownership from problem to outcome, navigating ambiguity and bringing clarity to complex challenges.
  • You enjoy collaborating with people from different disciplines and can communicate technical concepts in a way that creates alignment and momentum.
  • Solid understanding of the software development lifecycle and strong programming skills especially Python.
Bonus if you've ever…
  • Built and deployed customer-facing AI products at scale.
  • Worked with retrieval-augmented generation (RAG), agentic systems or evaluation frameworks.
  • Developed AI platforms, tooling or infrastructure that enabled other teams to build faster.
  • Worked in fintech, investing, marketplaces or other highly regulated environments.
  • Contributed to AI strategy, governance or adoption beyond your immediate engineering team.
  • Have experience or exposure to Java, GO, JavaScript or other languages.

At Stake, we're more interested in your attitude than your resume. If you believe this is a role you want to jump into, please apply and let us know why in your cover letter!

Benefits of working at Stake

You'll have the opportunity to work with autonomy while learning from some of the best talent in the industry, playing a meaningful role in building a company that has loads of positive momentum and excitement around it. Having said that, we also have perks. Please see on our Careers website the list of benefits under our Grow with Stake program. They include:

  • Career relevant development and training with professional development allowance
  • Up to 16 weeks of paid parental leave
  • Childcare allowance
  • Sonder - healthcare, safety support and EAP for you and your immediate family
  • Additional leave types (Swap days, Bear Days, TOIL, Compassionate, Sorry Business)
  • Employee Share Options scheme for senior leaders
  • Stake products: SMSF 30% discount on yearly membership fee, $295 AUD annual trading credit and Stake Black account
  • Recognition awards and team celebrations
  • Discretionary performance bonus and talent referral bonus

Stake is an equal opportunity employer that values diversity. We're proactive about providing an inclusive work environment and do not discriminate based on race, religion, nationality, gender, sexual orientation, age or disability status. We're also endorsed by WORK180 as a great employer for women. It all comes together to explain why Stake placed 1st in the 2024 AFR BOSS Best Places to Work list for the Banking, Superannuation & Financial Services category, across all of Australia and New Zealand.

So what happens next?

Once we've received your application, we'll give it the attention it deserves and you'll hear from us either way. We're committed to responding to every applicant. If we think you'd be a good addition to our team, we'll give you a call and from there, you'll cruise through our recruitment process.

To all recruitment agencies: Stake does not accept agency resumes. Please do not forward resumes to our jobs alias or directly to Stake employees. Stake is not responsible for any fees related to unsolicited resumes.

Apply for this job

Posted 3h ago
Featured

Senior AI Engineer, Software

Future Secure AI
Future Secure AI
Sydney, NSW
hybrid
  • Build AI products and platform, lead customer-facing engagements
  • 7+ years software development experience
  • Node.js, LangChain, AI Agent frameworks, cloud environments (Azure, AWS, GCP)
Posted 1 month ago

AI/ML Software Engineer

Akordi
Sydney, NSW
  • Design, develop & deploy ML models for decision intelligence platform
  • 2+ years commercial ML/AI engineering experience
  • Python, TensorFlow, scikit-learn, AWS, REST APIs
Posted 3d ago

Senior AI Engineer

Bilue
Sydney, NSW | Melbourne, VIC
hybrid
  • Build production-grade AI systems for enterprise clients
  • Demonstrable production AI/GenAI delivery experience
  • Python, LangChain, AWS/Azure/GCP, agentic frameworks, LLMOps
Posted 3d ago