出海雷达

Forward Deployed Engineer

开发工程限定地区(需当地身份)
公司Turgon AI
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

我们正进入自移动机以来最大的平台转变,这是一个每家企业都在竞争采用人工智能市场的机会。但有一个巨大的问题:传统的玩家 (世界 Accentures 和 Wipros)没有适应。他们仍然在要求速度的世界中销售顾问军队和冰川时间线。输入 Turgon.我们是世界上第一个代理 IT 现代化平台。我们不仅通过添加聊天机器人到破产系统中"做 AI".我们解决了企业问题的根源:数据和系统水平。通过将精英前沿部署的工程师与专有 AI 代理 Swarms 结合起来,我们在几天内绘制图,记录和现代化了巨大的遗产基础设施。我们正在将 CIO 转变为战略建设者并确保 IT 基础设施最终能够以人工智能的速度改变。我们正在寻找准备拒绝传统咨询模式并帮助我们构建企业未来的建筑商。关于角色 我们正在寻求一个前沿部设工程师坐落于我们的产品,工程和面向客户团队的交叉口。这是一个像他们在代码库中一样舒适的客户角色。在 Turgon,我们的 AI 代理人处理重工工作但伟大的企业软件仍然需要一个深入了解客户的世界的人,可以在自动化达到其极限时弥合差距并将混乱现实世界的要求转换为清洁技术解决方案。你就是你。你将是客户信任的人,我们交付领导的人,以及当他们需要从场上地上的真相信号时,我们的产品团队转向的人。这个角色适合那些在模糊中繁荣,快速移动和真正享受从白板到部署跨越整个谱度的工作的人。责任 · 构建和交付:拥有客户部署的最后一英里执行方式 配置,编码,定制和解决问题,以确保它们在客户特定环境,数据景观和工作流程中可靠地运行。· 人工循环操作:当我们的人工智能代理人需要人类判断,审查或升级时,作为智能后台。识别这些干预中的模式并将其反给产品和工程团队来持续减少手动努力。· 产品回复循环:作为 Turgon 内部客户的声音。合成客户疼痛点,边缘情况,

查看英文原文

We are entering the biggest platform shift since mobile – a $ market opportunity where every enterprise is racing to adopt AI. But there is a massive problem: the legacy players (the Accentures and Wipros of the world) are failing to adapt. They are still selling armies of consultants and glacial timelines in a world that demands speed.
Enter Turgon.
We are the world’s first Agentic IT Modernization platform. We don’t just "do AI" by adding chatbots to broken systems. We solve enterprise problems at the root: the data and systems level. By combining elite forward-deployed engineers with our proprietary AI Agent Swarms, we map, document, and modernize massive legacy infrastructures in days, not quarters.
We are turning CIOs back into strategic builders and ensuring IT infrastructure can finally transform at the speed of AI. We are looking for builders who are ready to reject the legacy consulting model and help us architect the future of the enterprise.
About the Role
We are looking for a Forward Deployed Engineer to sit at the intersection of our product, engineering, and customer-facing teams. This is a role for someone who is as comfortable in a customer conversation as they are in a codebase.
At Turgon, our AI agents handle the heavy lifting – but great enterprise software still requires a human who deeply understands the customer's world, can bridge the gap when automation hits its limits, and can translate messy real-world requirements into clean technical solutions. That's you. You will be the person customers trust, the person our delivery leads rely on, and the person our product team turns to when they need ground-truth signals from the field.
This role is ideal for someone who thrives in ambiguity, moves fast, and genuinely enjoys working across the full spectrum from whiteboard to deployment.
Responsibilities

  • Build and Deliver: Own the last-mile execution of customer deployments – configuring, coding, customizing, and troubleshooting our AI solutions to ensure they work reliably in the customer's specific environment, data landscape, and workflows.
  • Human-in-the-Loop Operations: Serve as the intelligent backstop when our AI agents require human judgment, review, or escalation. Identify patterns in these interventions and feed them back to the product and engineering teams to continuously reduce manual effort over time.
  • Product Feedback Loop: Act as the voice of the customer inside Turgon. Synthesize customer pain points, edge cases, and feature requests into crisp, actionable briefs for the Product and Engineering teams. You will directly influence the product roadmap.

Requirements

  • 7+ years of engineering or technical experience, with meaningful exposure to customer-facing or implementation work.
  • Strong technical foundation – you can code, understand how LLM-based systems work at a practical level, build your own agents, and have basic data engineering skills.
  • Excellent communication skills: you can explain a complex technical constraint to a non-technical stakeholder without breaking a sweat, and then turn around and write a precise bug report for an engineer.
  • Experience working in data lakes, data warehouses (Snowflake, Databricks, etc), ERPs, and other similar systems of record.
  • Comfortable with ambiguity and the pace of an early-stage startup – you can context-switch between a customer escalation, a product scoping session, and a sales call in the same day.

Nice-to-Have Skills

  • Prior experience in a Forward Deployed Engineer or Solutions Engineer role at a B2B SaaS or AI company.
  • Hands-on experience with LLM tooling (LangChain, LangGraph, RAG pipelines, vector databases).
  • Experience supporting or closing enterprise sales cycles in a technical capacity.

Education
· We don't actually care about qualifications as long as you are a sharp, customer-obsessed problem solver who wants to keep learning and make a massive impact.
Originally posted on Himalayas

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