Lead Platform Engineer
生物 LM 正在建立一个 AI 平台用于分子发现，使研究人员能够使用最先进的语言模型设计和分析生物学序列。我们寻找一名领导平台工程师来拥有我们的核心产品平台的架构，开发和演变。你将与创始团队直接合作做出高杆技术决策 - 并负责我们运送的内容的可靠性，扩展性和质量。责任 · 运输产品和功能具有启动级别速度和高质量的标准 · 领导分子设计和发现的代理工作流程的发展 · 建立和扩展平台 UI 功能，使研究人员能够创建，管理和部署微调的蛋白质和 DNA 模型 · 将我们的控制台，构造商和解决方案应用程序集成到分子开发的无全堆体验中 · 与序列和测试订单提供商建立 API 整合，包括内部数据建模和完整堆积 UI 开发经验 · 5年以上的完整堆積工程经验，具有从基础设施到用户面向界面的运输生产系统记录 · 领导技术项目 - 范围工作，有效地委托并按时交付 · 设计和运营规模的云基础设施 · 建立和维护复杂的第三方集成或基于 API 系统 · 带来产品本能和 UI 敏感性，对模糊的早期问题提出要求资格 · 深入熟练 Python 和 React/Node.js ·强大的云基础设施 （AWS 或相等）,CI/CD 和 Docker 的掌握 · 对关系数据建模和 API 设计模式的坚实的理解 · REST,WebSockets 以及包括代理/MCP-based 系统在内的现代集成模式的经验 · 对 UI 设计和产品思维进行良好观察 · 为科学，研究或 ML/AI 附属工作流提供体验建设工具 · 熟悉互动数据可视化 (D3.js, Plotly, Vega-Lite) · 集成或部署大型 ML 模型 API 或代理人工智能系统的经验 · 在生物学，生物信息学或计算生命科学方面背景或真正兴趣 原始地发布在喜马拉雅山
查看英文原文
BioLM is building an AI platform for molecular discovery, enabling researchers to design and analyze biological sequences using state-of-the-art language models.
We are seeking a Lead Platform Engineer to own the architecture, development, and evolution of our core product platform. You'll work directly with the founding team to make high-leverage technical decisions - and be accountable for the reliability, scalability, and quality of what we ship.
Responsibilities
- Ship products and features with startup-caliber velocity and a high bar for quality
- Lead the development of agentic workflows for molecular design and discovery
- Build and extend platform UI features that enable researchers to create, manage, and deploy fine-tuned protein and DNA models
- Integrate our Console, Builder, and Solutions apps into a seamless full-stack experience for molecular development
- Build API integrations with sequence and assay ordering providers, including internal data modeling and full-stack UI development
Experience
- 5+ years of full-stack engineering experience, with a track record of shipping production systems end-to-end, from infrastructure to user-facing interface
- Led technical projects - scoped work, delegated effectively, and delivered on time
- Designed and operated cloud infrastructure at scale
- Built and maintained complex third-party integrations or API-driven systems
- Brought product instincts and UI sensibility to ambiguous, early-stage problems
Required Qualifications
- Deep proficiency in Python and React/Node.js
- Strong command of cloud infrastructure (AWS or equivalent), CI/CD, and Docker
- Solid understanding of relational data modeling and API design patterns
- Experience with REST, WebSockets, and modern integration patterns including agentic/MCP-based systems
- A good eye for UI design and the product thinking to match
Preferred Qualifications
- Experience building tooling for scientific, research, or ML/AI-adjacent workflows
- Familiarity with interactive data visualization (D3.js, Plotly, Vega-Lite)
- Experience integrating or deploying large-scale ML model APIs or agentic AI systems
- Background or genuine interest in biology, bioinformatics, or computational life sciences
Originally posted on Himalayas