Software Engineer - AI-Native, Forward-Deployed

Visory

Visory

Software Engineering, Data Science
Posted on Feb 26, 2026
Melbourne

Software Engineer - AI-Native, Forward-Deployed

About Visory

Visory is building the AI-powered operating system for the financial back office of growing businesses.

Most SMEs already have data. What they don’t have is clarity. We combine a purpose-built workflow platform, real financial experts, and AI agents to turn bookkeeping, payroll and financial operations into insight, strategy, and confident decision-making.

In short: we handle the back office, so business owners can focus on what they do best.

Founded in 2020, we’re a well-funded, fast-growing startup with a global team across the US, Australia and New Zealand. We move fast, take ownership, and build with intent - using AI not as a feature, but as core infrastructure.

If you want to work on meaningful systems at the intersection of finance, AI and workflow automation - and help reshape how financial services are delivered - you’ll feel at home here.

The Role

You won’t be writing CRUD endpoints or tweaking button colours. You’ll build AI systems that run real business operations - payroll, accounts payable, bookkeeping - for SMEs across Australia, New Zealand and United States.

This role is AI-native, not AI-curious. You’ll design agentic workflows, build LLM pipelines, wire up tool integrations, and ship features that go live and handle real money the same week. You’ll work directly with the people who use what you build, and you’ll see the impact immediately.

We’re a small engineering team that ships weekly. No layers, no tickets-for-tickets’-sake. You pick up a problem, build the solution, and deploy it.

What You’ll Do

  • Design and build agentic AI workflows - from prompt engineering to production deployment

  • Build and maintain MCP (Model Context Protocol) servers that connect AI to live business systems

  • Write production TypeScript and Python with real deployment expectations

  • Ship full-stack: from LLM orchestration and API design through to front-end interfaces

  • Work directly with operations, bookkeepers, and customers to understand problems and validate solutions

  • Own features end-to-end - planning, building, deploying, monitoring

  • Improve platform reliability, observability, and AI quality systems

  • Contribute to architecture decisions in a team where every engineer’s opinion matters

You’re Probably a Good Fit If You Have

Must-haves:

  • Strong software engineering fundamentals - you write clean, testable, well-structured code

  • Production experience with TypeScript and Python

  • Real experience building with LLMs and AI agents - not just tutorials, but features that shipped

  • You’ve taken an AI-powered feature from idea to production

  • You work autonomously and communicate clearly

  • You want to deeply understand a problem, collaborate closely with end users, and build incremental and iterative solutions

Nice-to-haves:

  • Experience with Anthropic/Claude and the Model Context Protocol (MCP)

  • Background in fintech, accounting tech, or business operations software

  • Prior startup experience - you’re comfortable with ambiguity and moving fast

  • Open-source contributions or a visible portfolio of AI/engineering work

Our Culture

We hire people who are:

  • Gritty

  • Humble

  • Optimistic

  • Curious

A few things that matter to us:

  • Flock to problems: We run toward issues, not away from them. When something’s broken, we get curious, gather the right people, and work the problem together.

  • Give energy: We aim to be the people others want in the room - prepared, constructive, and generous with our knowledge and time.

  • Think customer: We start with the business owner and work backwards. We care about their outcomes, not just our internal process.

  • Step into the arena: We value people who take ownership, show agency, make calls with imperfect information, and are willing to be accountable. |

Curious to learn more? Here’s a few words from our CEO, Thomas Paule about what it means to work at Visory.

Interview Process

We keep it straightforward:

  1. Initial conversation - a quick chat to get to know each other and make sure there’s a mutual fit

  1. Technical conversation - walk us through your work, how you think, and what you’ve built

  1. Technical challenge – a take home challenge to put your skills to the test

  1. Offer - if it’s a fit on both sides, we move quickly

Why You Would Join Us

  • A real problem to solve: “Bookkeeping and payroll” sounds simple, sometimes ‘boring’ and ‘administrative’; in reality, it’s a rich, complex space with big unsolved problems. If you like working on hard problems with real-world upside, you’ll enjoy it here.

  • Ownership and autonomy: We hire smart and driven people, giving them space to own problems end to end.

  • Build, not just maintain: You’ll help shape our product and ways of operating.

  • Career growth in a high-bar team: You’ll work with people who care about getting better - as operators, as leaders, and as humans. You have access to opportunities that stretch you.

  • Meaningful impact: Your work matters to SMEs. You’ll see the direct impact of your work in customer stories and outcomes.

  • No two days the same: We move fast — you’ll work across different problems, customers, and teams, so there’s always something new to learn, build or improve.

Melbourne

Software Engineer - AI-Native, Forward-Deployed