Staff AI Engineer

Staff AI Engineer Location 📍: Sydney, Australia (Hybrid - 3 Days In Office) 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 🥳 We are seeking exceptional Staff Engineers to join our AI team and build the next generation of AI-powered products. This is a high-impact applied AI role for engineers who want their work to matter. You’ll build and ship real AI features that solve customer problems across multiple industries - turning cutting-edge agentic AI into systems customers rely on in production. This is not your traditional ML or MLOps role. You’ll work across the full stack to design, build, and ship AI-powered workflows, tools, and experiences. Your work will span prompt and context engineering, agent orchestration, backend services, APIs, infrastructure, and user-facing interfaces - often within the same project. You’ll be part of a small high-performing team of AI specialists reporting directly to our co-founder and be deeply embedded across our various Product & Engineering teams. If you’re excited by LLMs, multi-agent systems, and solving hard, real-world AI problems, this role is built for you. Your impact💥 - Develop Agents and Multi-agent systems: Design and implement AI agent and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.). - Develop Tools for agents: Develop complex tools for agents like computer use, browser use, etc. - Multi-agent orchestration and tool calling: Research and develop systems on how agents should collaborate, and how agents should call tools. - Fullstack development: Build and maintain production-grade APIs and AI-powered features, from backend services to user-facing experiences. - Evaluate and improve: Evaluate AI’s performance using evaluations and tests to then iterate on prompts, agent tools and agents orchestration to improve output quality and reliability. Our Tech Stack (so far) 💻 We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications: - Frontend: Vue.js, Nuxt, Typescript - Backend: Express.js, Node.js, Typescript - Database: MongoDB, PostgreSQL - Cloud Infrastructure: Vercel, AWS (Lambda, Batch, CloudWatch), Terraform What We’re Looking For 🧠 - Proven staff-level experience in full-stack software development, ideally developing practical and production-ready AI applications or features that utilise Gen AI/ LLMs / RAG. - Strong programming skills in Python and Javascript, including experience using AI-assisted coding tools. - Deep understanding of foundational models, prompt engineering, and fine-tuning techniques. - Understanding of software design, service architecture, and scalable systems. - Passion for building AI-enhanced user experiences, not just theoretical ML solutions. - Prior start-up or tech company experience is a plu ... (truncated, view full listing at source)