Build for the real world
We ship things real businesses use, not demos. Every feature has to earn its place by making a customer's day easier.
Careers
Help us build the AI front desk for every business.
RingBot is a small team in Melbourne building AI voice agents that handle real phone calls, qualify leads, and automate the customer interactions that keep businesses running. We're focused, we ship fast, and we care about whether the thing actually works.
Melbourne, VIC, Australia · Remote-friendly
Open roles
No open positions right now.
We're a small, focused team and we hire slowly. When we do bring someone on, it's because we've found someone who genuinely fits — not because we hit a headcount target.
If you think you'd be a strong fit for the kind of work we do, send us a note anyway. We read every message.
Send us a noteWhat we look for
- You've shipped real product to real users and you know the difference between done and done-done.
- You're comfortable with ambiguity — we don't always know the shape of the problem until we're in it.
- You write clearly. Good writing is how we think through problems and communicate decisions.
- You care about the customers using what we build, not just the code.
How we work
Four things we actually believe.
Own the outcome
Small team means no silos. You're responsible for design, build, and the thing working well once it's live.
Think at the edges
Our customers are dental practices, restaurants, and property managers — not tech companies. That gap is where the interesting work is.
Say the hard thing clearly
We'd rather have an uncomfortable conversation early than a quiet failure later. Directness is a form of respect.
Domain knowledge
What this work actually involves.
We're building AI agents that handle real phone calls and conversations. The interesting problems are at the intersection of AI reasoning, memory, and real-time voice — not just plumbing.
AI agent fundamentals
You understand how LLMs reason, where they fail, and how to structure prompts, tools, and loops that produce consistent real-world outcomes — not just impressive demos.
Memory systems
You've thought about the difference between in-context memory, retrieval-augmented recall, and long-term structured storage — and when each one is the right tool.
Multi-agent orchestration
You know how to decompose a task across agents, manage trust boundaries between them, handle handoff, and avoid the failure modes that come with delegation at scale.
Real-time and voice AI
You appreciate the constraints of low-latency inference: streaming, interruption handling, turn-taking, and what 'good enough in 300ms' actually demands from a system.
Interested in what we're building?
Drop us a line at [email protected]. Tell us what you'd bring to a team like this. No recruiters, no cover-letter templates — just a direct email.