前向部署工程师
Forward Deployed Engineer
如果你：
- 能快速原型设计、集成并把AI系统部署到生产环境；
- 喜欢将杂乱的现实问题转化为优雅的技术解决方案；
- 在工作中或之外曾打造过令人印象深刻的产品…
…你应该申请这个职位！
**关于P-1 AI：**
在P-1 AI，我们正在构建一个名为Archie的物理世界AI工程师代理。我们最大化Archie的人性化程度，使其以人类工程师的形式无缝融入现有的工程团队和工作流程。目前，Archie相当于一名初级机械和电气工程师，具备对产品设计空间的量化直觉，并能使用复杂的工程工具——这些工具与他的人类队友使用的相同。Archie的技术栈包括定制的代理框架、结构化设计表示、持续技能学习，以及使用专有半合成训练数据集和环境的小型自定义微调模型（SFT和RLVR），这创造了深厚的护城河。我们的最终目标是构建工程领域的ASI。我们最近宣布获得由NEA领投的5000万美元A轮融资，该轮还引入了前通用电气CEO Jeff Immelt加入董事会。本轮融资还包括来自Anthropic和Nominal的几位AI专家加入我们已有的天使投资人（来自Google和OpenAI）。
**关于这个机会：**
我们的前线部署工程师负责每个客户的部署，针对特定客户任务做出关键的技术决策，包括架构、数据集成和用户体验。
日常工作中，你将构建端到端的AI解决方案，将其部署到生产环境，并支持我们的客户通过创新的AI能力解决现实世界的物理工程问题。
**关于这个职位：**
- 与客户合作贯穿Archie产品的整个生命周期：主导发现会议，将工程挑战转化为AI用例，设计Archie如何融入每个工作流程，并提供部署后的支持以确保客户成功。
- 设计、实现并优化客户集成：将Archie连接到工程数据源和工具，不断迭代直到其产生可衡量的价值。
- 在生产环境中微调和评估AI系统：识别、收集和准备客户数据以微调模型。从客户会议中获取评估标准和问题，验证改进的工程能力。
- 与工程团队协作：紧密配合
查看英文原文
**TL;DR:** If you:
- can rapidly prototype, integrate, and ship AI systems into production;
- love turning messy real-world problems into elegant technical solutions;
- have built something remarkable, at work or outside of it…
… you should apply for this role!
**About P-1 AI:**
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
**About the opportunity:**
Our Forward Deployed Engineers serve as the technical lead for each customer deployment, making key technical decisions on architecture, data integrations, and user experience for specific customer missions. On a daily basis, you will build end-to-end AI solutions, take them into production, and support our customers solving real-world physical engineering problems with novel AI capabilities.
**About the role:**
- Work with customers over the entire Archie product lifecycle: Lead discovery sessions, translate engineering challenges into AI use cases, design how Archie integrates into each workflow, and provide post-deployment support to ensure customer success.
- Design, implement, and refine customer integrations: Connect Archie to engineering data sources and tools, iterate until it delivers measurable value.
- Fine-tune and evaluate AI systems in production environments: Identify, collect, and prepare customer data to fine-tune models. Source evaluation criteria and questions from customer sessions to validate improved engineering capability.
- Collaborate with engineering teams: Work closely with subject matter experts and AI specialists to develop novel AI systems capable of executing critical customer engineering tasks.
- Diagnose and resolve critical issues in live deployments: Drive root-cause analysis and implement durable improvements across the organization.
**About you:**
- Experience shipping data-driven or AI systems to production (Python experience strongly preferred).
- A physical engineering background (automotive, aerospace, electrical, mechanical, etc.).
- Can rapidly build integrations between disparate customer systems.
- Comfortable working directly with customers and technical leaders.
- Have integrated or extended AI systems. Bonus points for engineering or scientific domains!
- Delivered solutions in secure enterprise environments.
- Handled live production troubleshooting and customer incident response.
**Location:**
Remote (US/Canada) or San Mateo, CA. Remote employees spend one week out of six working together on-site in our San Mateo office. Relocation support available.
**Benefits:**
Competitive salary, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
**Interview process:**
- Introductory call (30 mins)
- Biographical/behavioural interview (45 mins)
- Technical interview (60 mins)
- CEO interview (30 mins)