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Staff AI Platform Engineer

relevanceai · Remote
RemoteFull-timeR&DConstruction$179,000–$241,000/yr
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About the Staff AI Platform Engineer role

Staff AI Platform Engineer positions focus on delivering results in their domain. This page aggregates open Staff AI Platform Engineer roles and what employers typically expect.

Job Title: Staff AI Platform Engineer Location 📍: Sydney, AU, Hybrid (3 days in office required) About Us 🚀 At Relevance AI, we’re building the home of the AI workforce. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together. In 2025, we were proud to be named LinkedIn’s #1 Startup in Australia. If you want to define how the world works with AI, join us. The Role 🥳 As coding agents get more powerful, the biggest lever is no longer about shipping features faster — it's building the factory that ships every feature. At Relevance AI, that's what we're building: an end-to-end system where coding agents pick up a task, build it, test it, review it, and deploy it safely, at speed. We've proven pieces of this already; the next frontier is making it reliable and scalable across every team. In this role, you’ll own our developer experience, platform infrastructure, reliability and the factory that enables our whole engineering team to out-build with agents. You'll get to shape the foundations of our AI-native platform which everything else depends upon. This is one of the highest leverage roles in the company: every system you build multiplies every engineer, and every agent, working alongside them — and the infrastructure and cost calls you make is what enables a small AI-native team out-ship a much larger one. We are willing to sponsor engineers relocating from overseas to Australia. How We Build ⚒️ We believe that AI is fundamentally changing software and what it means to be an engineer. That means our team works differently: - AI engineering (coding agents, loops, eval) is a core part of every engineer's workflow. - Engineers own customer problems end-to-end, not just implementation. - We prototype quickly, validate with customers, and iterate relentlessly. - We ship continuously, often multiple times a day. - We care about product impact as much as technical quality. We don't see platform engineering as a gated function or a black box. You'll bring deep expertise and help the wider team build real understanding and ownership of it, not just depend on you for it. That means working hands-on alongside application engineers, with knowledge flowing both ways. Meet The Team 👋 - Paulwyn, Head of Engineering https://www.linkedin.com/pulse/relevance-ai-conversation-meet-our-head-engineering-paulwyn-esnvc/ - Peter, Engineering Manager https://www.linkedin.com/pulse/meet-peter-engineering-manager-relevance-ai-relevanceai-kxrgc/ Your Impact 💥 - Own our developer experience and factory — the build, test, deploy, and local-dev loop that lets engineers and agents ship fast, with confidence. - Build agent-safe environments — sandboxes, guardrails, and context that let agents investigate issues, build, review work and ship autonomously. - Own reliability, end-to-end — SLOs, on-call health, observability, incident response and prevention. - Own our cloud infrastructure and cost — AWS, scalability, and spend visibility for the org. - Design and evolve platform capabilities that work across multiple teams and support multiple engineers and agents contributing code. - Remove systemic bottlenecks — every fix compounds across enginee…

Salary estimate

$179,000 – $241,000/yr
Provided by the employer.

Skills for this role

AWSSalesAutomation

Resume tips for Staff AI Platform Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show Staff AI Platform Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

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Have thoughtful questions ready about the team, tools and success metrics.

About relevanceai

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