Senior AI Engineer

Preactarecruitment — Australia · Posted ~2 hours ago

Senior 180000-220000 AUD + superannuation + equity

Skills

Real-time audio processing Conversational AI Machine Learning Low-latency systems Python Real-time systems

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Summary ✨ AI‑Generated

We are seeking a Senior/Principal AI Engineer to work on real-time conversational AI systems where speed is critical. You will develop low-latency voice and text interactions, handle real-time audio at scale, manage agent context and knowledge, and understand user screen activity. The role involves building scalable AI services in a fast-paced startup environment.

Highlights

Well-funded early-stage AI product company with real revenue and enterprise customers, small engineering team with founders involved daily, competitive salary with superannuation and equity.

Description

Senior/Principal AI Engineer $180-220k + Super + equity Melbourne Only Company overview A well-funded, early-stage AI product company based in Melbourne, with real revenue, enterprise customers, and a roadmap that's outgrown the size of the team building it. Small engineering group, founders in the room daily, and a lot of ground still to cover. Role and responsibilities You'll work on real-time conversational AI where speed is the whole game: voice in, context understood, an answer back fast enough that it feels natural rather than laggy. That single constraint shapes most of the engineering decisions here. Expect to work across real-time audio at scale (turn-taking, interruptions, knowing when someone's actually finished speaking, all of it holding up under real load), agent context and knowledge (becoming the expert on a customer's product and surfacing the right answer inside a tight latency budget), and live understanding of what's happening on a user's screen to know when the agent should speak. This is a generalist role more than a narrow AI specialist one. You'll need real product taste, comfort shipping something imperfect and iterating fast, and the ability to explain a trade-off clearly to a non-technical audience, including a customer's engineering team. Key technical skills Deep in one of backend, frontend or infra, and genuinely capable in the other twoStrong fundamentals: system design, data flow, trade-offs, not just code to specReal intuition for what LLMs do reliably versus what only holds up in a demo, production agent experience is a bonus not a filterPython matters most, TypeScript, Kubernetes and cloud infra all featureReal-time, voice, video, streaming or low-latency systems experience is a strong plus, not required Melbourne. Hybrid, 3 days a week in office. Great culture and meaningful early-stage equity. Multiple roles available at Senior and Principal level.