About the job
Location : Sydney, Australia (Hybrid - 3 Days In Office)
About Us
At Relevance AI, we’re on a mission to revolutionize the AI workforce. Our goal is to empower teams to harness AI agents that think, act, and collaborate like seasoned experts.
Our platform allows users to create and manage intelligent agents that streamline workflows, make decisions, and enhance collaboration. We proudly serve industry leaders including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, enabling them to achieve operational excellence in marketing and sales.
Supported by notable investors like Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, we successfully raised our Series B funding in April 2025 to further accelerate our growth and push the boundaries of agentic automation.
With headquarters in San Francisco and Sydney, we embrace a hybrid work model that thrives on curiosity, collaboration, and swift execution. We are proud to have been recognized as LinkedIn’s #1 Startup in Australia in 2025. If you're eager to shape the future of AI, we want you on our team.
The Role
We are looking for exceptional Staff Engineers to join our AI team and innovate AI-powered products. This role is a high-impact applied AI position for engineers who are passionate about making a real-world difference. You’ll develop and deploy AI features that address customer needs across various industries, transforming cutting-edge agentic AI into reliable production systems.
This is not a conventional ML or MLOps role. Your responsibilities will encompass the entire stack, from designing and building AI-powered workflows to creating tools and user experiences. Your tasks will involve prompt and context engineering, agent orchestration, backend services, APIs, infrastructure, and user-facing interfaces, often collaborating on the same project.
You will work closely within a small, high-performing team of AI specialists, reporting directly to our co-founder, and engaging deeply with our diverse Product & Engineering teams. If you are excited about LLMs, multi-agent systems, and tackling complex AI challenges, this role is tailored for you.
