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按职位、技能和地点搜索招聘信息。准备申请前,先仔细了解职位要求。

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此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

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AI Innovation Engineer

BizCover

地点
Sydney, New South Wales, Australia
发布日期
2026年10月19日

申请前,请在雇主网站确认职位仍在招聘,并检查完整要求和条件。

职位描述

此界面为简体中文。雇主发布的职位名称和描述保留原文,可能为英文。

Who are we? We are the leading online platform for comparing and buying business insurance. Not to toot our own horn, but we’re shaking things up in the SME business insurance market! We’re all about making it easy and efficient for small businesses to get the perfect coverage they need to stay protected. Say goodbye to headaches and hello to hassle-free insurance! Location: Sydney, NSW (Hybrid) Employment Type: Full-time, permanent Level: Mid-level (3–5 years’ experience) Team: Technology The role We're building an AI-first engineering team. We want an engineer who builds with agents and builds agents: someone who comes up with ideas, proves them fast with POCs, and ships the winners to production, safely, in a regulated insurance environment. You'll work within our guardrails, and when you see a better way, you're free to propose it and build it. What you'll do Build and prove: Build POCs quickly with LLMs, agents and MCP. Define success metrics up front and use evals to show quality, cost and business value before anything scales. Engineer spec-first: Write requirements → design → tasks, hand execution to AI coding agents (Claude Code, Kiro) under human review, and keep specs, steering docs and CLAUDE.md in sync with the code. Build reusable agent tooling: Package workflows as skills, subagents, hooks, plugins and MCP servers the whole team can reuse. Use hooks, not prompts, for rules that must always hold. Orchestrate agents: Pick the right pattern (orchestrator/worker, pipeline, fan-out, routing), or one agent when one will do. Handle state, retries, token budgets and human approval gates, and run agents headless in CI/CD. Ship and govern: Turn POCs into tested, observable services and RAG pipelines. Protect personal information, enforce permissions, keep audit trails and set agent autonomy boundaries. Improve the framework: Spot bottlenecks and pitch stack changes backed by evidence. What you'll bring 3+ years in software engineering, including shipping LLM-powered applications. Agentic coding: Daily use of AI coding agents in real delivery work. You know when to use a skill vs a subagent vs a hook vs MCP. Spec-driven delivery: You've written specs an agent executed and reviewed its output critically. Agent orchestration: You've built at least one multi-step or multi-agent workflow and know how agents fail. Strong fundamentals: Python and TypeScript/Node, API design, testing, CI/CD and AWS (or another major cloud). RAG, evals and LLMOps: You've built a retrieval system and an eval harness, and instrumented tracing, cost and latency. Security mindset: You design against prompt injection, data leakage and excess agent permissions, and you're sceptical of complexity for its own sake. Nice to have: our stack You don't need experience with all of these, they're what we use today, and you'll learn them fast. AI Coding Agents: Claude Code, OpenHands SDK Spec-Driven Delivery: Kiro, GitHub Spec Kit, AI-DLC Models & Agent Runtime: Claude via AWS Bedrock, Bedrock AgentCore, Strands Agents, LangGraph Tools & Guardrails: MCP, Cedar Policies, Bedrock Guardrails, n8n Data & RAG: Snowflake (including Cortex), dbt, Fivetran Evals & Observability: Langfuse, LangSmith, Braintrust, OpenTelemetry, CloudWatch Platforms: .NET 8, Next.js 15, Salesforce, Atlassian, Terraform / AWS CDK Bonus points: published skills, Kiro Powers or MCP servers; experience in a regulated industry (APRA CPS 234/230, Privacy Act 1988, ISO 27001, SOC 2). Hybrid working model with flexibility to work from home 2 days and the 3 days in the office Exciting and rewarding team culture Quarterly recognition awards Business Casual dress code Rewarding Employee Incentive Program Employee benefits package Growing company with progression opportunities We are an equal opportunity employer and we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. We encourage applications from people of all backgrounds, identities, and perspectives. We are committed to creating a diverse and inclusive workplace where everyone can thrive and grow.

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区分必备要求和优先条件,检查已列出的工作安排、薪资和地点。远程职位也可能要求特定居住国家、工作许可或工作时间重合。请向雇主确认职位信息和完整条件。

选择能够回应职位要求的真实经历,说明你的贡献,只使用能够证实的数字。遵循雇主的申请说明,并在提交前检查联系方式、文档内容和 PDF。

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求职常见问题

为什么有些职位使用英文?

职位名称和描述由招聘企业撰写。为避免改变招聘要求或工作条件,我们保留原文。操作界面和本指南使用简体中文。如果中文搜索没有结果,可以尝试使用职位发布语言中的名称或技能,例如“software engineer”。搜索词不会自动翻译,界面语言也不代表企业要求的申请语言。

远程职位是否允许从任何国家工作?

不一定。企业可能对居住国家、工作许可或工作时段有要求。请查看原始招聘页面中的具体条件。如果未说明,应先向企业确认,再判断能否从你所在的地区工作。“远程”标签本身并不代表没有地点限制。

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尝试更通用的职位名称或单个技能,并逐一移除筛选条件。不同企业可能用不同名称描述相似工作。如果某个职位已经消失,请在企业招聘页面搜索其职位编号。扩大搜索范围不会让已经关闭的职位重新开放。

申请会通过 ResumizeAI 直接提交吗?

申请按钮会打开外部网站。请按照企业或招聘服务的说明,在该网站完成并确认提交。在 ResumizeAI 中准备简历并不等于已经申请职位。如果链接只打开企业网站,请先找到对应职位,再继续申请流程。

如何针对职位调整简历和求职信?

将招聘要求与能够解释清楚的项目、任务和成果联系起来。突出相关经历,不要添加未经实际掌握的技能或虚构成绩。在求职信中用具体例子说明申请动机,并遵守企业要求的语言和文件格式。提交前检查两份文件,确保内容准确、联系方式正确、链接可用。