全栈工程师
岗位职责: 1. Agent 驱动开发 - 设计并实现 Agent-driven development workflow - 构建多 Agent 协作流程(开发、测试、评审、部署等) - 将复杂开发任务拆解为可由 Agent 执行的结构化任务 - 沉淀可复用的 Agent pipeline,提高整体开发效率 2. Vibe Coding 工程实践 -
加载中...
Stack:
Nice-to-have
At Kiln, our values drive us: Technical Excellence ensures top security and usability; Innovation-Driven Meritocracy elevates groundbreaking ideas; Trust and Transparency build reliability through open communication; and People First keeps our team and clients at the heart of everything we do.
Kiln is the leading enterprise-grade rewards platform that enables institutional customers to stake assets and integrate staking & DeFi functionality into their offerings. Our API-first platform provides fully automated validators, staking & DeFi protocols access, and comprehensive data and commission management.
With $15+ billion in crypto assets staked through our platform, Kiln has established a strong presence on Ethereum, managing over 5.4% of the network through 50,000+ validators — all with zero slashing events.
Kiln serves more than 140 leading customers, including Binance, BitPanda, Bitgo, Fireblocks, VanEck, and TrustWallet.
Our team of 110 ecosystem enthusiasts brings experience from industry leaders like Google, Circle, Ledger, Chainalysis, and other prominent technology and cryptocurrency companies.
We've raised $30M in total funding from prominent investors including 1kx, Crypto.com, Illuminate Financial, Consensys, Wintermute, Kraken Ventures...
Join Kiln and help us make the web more secure, stable, decentralized, and fair!
注册并登录后即可查看
岗位职责: 1. Agent 驱动开发 - 设计并实现 Agent-driven development workflow - 构建多 Agent 协作流程(开发、测试、评审、部署等) - 将复杂开发任务拆解为可由 Agent 执行的结构化任务 - 沉淀可复用的 Agent pipeline,提高整体开发效率 2. Vibe Coding 工程实践 -
参与后端架构设计与核心模块开发,保证 API 高可用、高并发。 负责数据模型、MySQL / Redis / MongoDB 优化和维护。 搭建并维护基础 AI 推理服务(模型部署、监控、告警)。 实现多 Agent 协同与任务调度,确保业务流程顺畅。 和产品、前端、运营配合,按周迭代需求。 3–5 年 Go 后端开发经验,基础扎实,熟悉 Gin / GO
1. 主导业务模块交付:独立负责核心服务的设计、开发与上线,覆盖平台鉴权、用量计费、开放 API 等方向,对模块质量和交付结果完全负责 2. 参与架构持续演进:推动服务端系统的解耦与模块化重构,让架构边界更清晰、系统更易维护 3. 承接技术预研与探索:在产品路线图中主动介入新方向的可行性评估与技术落地,包括多人会话、云存储、AI 功能集成、Matter 协议支持等 4. 建设开发者
作为 Infra 团队的核心成员,你的目标不是简单的维护 K8s 集群,而是 构建支撑大规模模型进化的机器学习平台 : AI 算力底座 :研发 AI 异构计算软件栈,结合高性能网络( RDMA/RoCE )、缓存技术与 GPU 架构,实现训练/推理全链路优化。 云原生 AI 套件 :深度定制 K8s 调度器 ( Volcano/