应用AI工程师
Applied AI Engineer
我们是一家风险投资公司，拥有内部创业工作室，致力于将大胆的想法转化为可扩展的初创企业。除了直接投资外，我们从零开始运作；与运营者、工程师、设计师和领域专家合作，验证现实问题并从零构建产品。
过去三年中，基金I已支持70多家初创企业；不仅提供资金，还提供实际支持，帮助我们在生物科技、B2B SaaS、AI等领域实现真正的成功。
我们正在寻找一名应用AI工程师，具备扎实的技术能力、产品直觉以及深入复杂系统设计的能力。你将参与我们创业工作室的多个早期项目，帮助我们验证机会并打造AI驱动的产品。
你将负责
- 构建核心模块：在我们的内部创业项目中开发和维护AI驱动的功能和系统。
- 优化AI系统：通过提示工程、检索增强生成（RAG）、工具设计和可扩展代理架构提升性能。
- 快速原型开发：通过交付快速、可测试的原型验证新产品想法，指导创业方向。
- 构建评估流水线：设计自动化评估系统，衡量和提升模型和产品的可靠性。
- 全栈开发：在全栈中做出贡献——从前端评估仪表盘和用户工具到后端系统（数据库、缓存、微服务）。
- 高速运转：在多个创业项目之间切换，快速迭代并与跨职能创始人和团队协作。
我们寻找
- 扎实的编程基础，注重代码的清晰性和高质量。
- 精通Python，熟悉AI/ML框架（例如LangChain、Hugging Face、PyTorch、TensorFlow、OpenAI API）。
- 扎实的后端知识：数据库、缓存、消息队列、微服务。
- 能够使用前端技术为内部工具、仪表盘或MVP进行原型开发。
- 在从零开始的产品上工作的实际经验，最好是在初创公司或创业工作室。
- 强大的书面和口头沟通能力；我们的团队是完全远程办公的。
- 在评估流水线、向量数据库或生产环境中的应用ML方面有经验。
我们提供的福利
- 从零开始打造多家公司的机会
- 与连续创业者、设计师、工程师和投资人深度合作
- 远程友好的工作方式，灵活的工作时间以及协作机制
- 这是一个合同制职位
查看英文原文
We’re a venture capital firm with an in-house venture studio, built to turn bold ideas into venture-scale startups. Beyond direct investments, we operate at zero-to-one; teaming up with operators, engineers, designers, and domain experts to validate real-world problems and build from scratch.
Over the past three years, Fund I has backed 70+ startups; not just with capital, but with hands-on support to engineer real wins across BioHealth, B2B SaaS, AI, and beyond.
We’re looking for a Applied AI Engineer with strong technical skills, product instincts, and the ability to dive into complex system design. You’ll be hands-on with multiple early-stage projects across our venture studio, helping us validate opportunities and bring AI-driven products to life.
What you’ll do
- Build core modules: Develop and maintain AI-powered features and systems across our in-house venture projects.
- Optimize AI systems: Improve performance through prompt engineering, retrieval-augmented generation (RAG), tool design, and scalable agent architectures.
- Prototype rapidly: Validate new product ideas by shipping quick, testable prototypes that inform venture direction.
- Engineer evaluation pipelines: Design automated evaluation systems to measure and improve model and product reliability.
- Work full-stack: Contribute across the stack — from front-end evaluation dashboards and user-facing tools to backend systems (databases, caching, microservices).
- Operate in hyperdrive: Switch contexts across multiple ventures, iterating quickly and collaborating with cross-functional founders and teams.
What we’re looking for
- Strong programming fundamentals and a bias for clean, high-quality code.
- Proficiency in Python and familiarity with AI/ML frameworks (e.g. LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs).
- Solid backend knowledge: databases, caching, message queues, microservices.
- Comfort with frontend prototyping for internal tools, dashboards, or MVPs.
- Proven ability to work on zero-to-one products, ideally at startups or studios.
- Strong written and verbal communication; our team is fully remote.
- Experience with evaluation pipelines, vector databases, or applied ML in production.
What we’re offering
- The opportunity to build multiple companies from the ground up
- Deep collaboration with serial founders, designers, engineers, and investors
- Remote-friendly, with flexible work hours and collaborative rituals
- This is a contract role with the potential to transition into full-time employment, offering a competitive salary plus equity in the ventures you help launch
Originally posted on Himalayas