AI Field Engineer / Forward Deployed Engineer (FDE)

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Location: New York, NY / San Mateo, CA / Remote, USA Employment Type: Full-time Experience: 3–10 years Compensation: $176K–$228K base | $220K–$285K OTE + meaningful equity Visa: H-1B transfers and TN visas sponsored; O-1 considered case-by-case About the Role We’re hiring an AI Field Engineer / Forward Deployed Engineer (FDE) to join our AI’s high-velocity team You’ll work directly with ambitious AI-native companies to turn complex AI challenges into production-ready systems. This is a highly hands-on role sitting at the intersection of AI engineering, product, and customer delivery . You’ll build POCs, MVPs, and production integrations while working directly with customers, account executives, and engineering teams. You’ll also engage with technical and executive stakeholders to discuss architecture, strategy, and business outcomes. This is not a traditional consulting or solutions role you’ll be hands-on-keyboard , writing code, deploying systems, solving technical problems, and contributing directly to our products and platform. What You’ll Do Work directly with customers to understand their technical and business challenges. Design and build POCs, MVPs, and production AI applications. Deploy and optimize LLM and generative AI workloads in production. Work with open-source models, inference infrastructure, and AI/ML platforms. Collaborate with customer engineering teams, account executives, and Fireworks product/engineering teams. Translate customer requirements into scalable technical solutions. Troubleshoot complex AI, infrastructure, and deployment challenges. Communicate technical architecture and tradeoffs to both engineers and executive stakeholders. Contribute code and product improvements directly to the codebase. Turn customer learnings into product feedback and help shape our roadmap. Take ownership of projects from initial discovery through production deployment. What We’re Looking For We’re looking for engineers who combine strong technical depth with excellent customer-facing skills . You may come from backgrounds such as: Forward Deployed Engineer AI/ML Engineer Applied AI Engineer AI Solutions Engineer Solutions Architect Sales Engineer Customer Engineer ML/AI Infrastructure Engineer Customer Success Engineer with strong technical depth Required 3–10 years of experience in a client-facing technical or AI/ML engineering role. Strong Python programming skills. Experience building and deploying AI/ML or generative AI applications. Experience working with LLMs and/or open-source AI models. Ability to work directly with customers and communicate technical concepts clearly. Experience building POCs and taking solutions toward production. Strong problem-solving skills and the ability to operate effectively in ambiguous environments. Willingness to work hands-on across engineering, customer delivery, and product. Technical Experience Experience with some of the following is highly relevant: Python vLLM SGLang TensorRT-LLM Kubernetes AWS, Azure, or GCP AWS Bedrock / SageMaker Azure AI Foundry GCP Vertex AI LLM fine-tuning, including SFT, DPO, or RFT GPU infrastructure Model inference and optimization You do not need experience with every technology listed , but you should have strong fundamentals in AI/ML engineering and be comfortable learning quickly. Why Join? Work directly with cutting-edge AI companies. Build real AI systems that move from prototype to production. Work across engineering, product, and customer delivery. Contribute directly to an AI infrastructure platform. Join a highly technical, builder-first team. Competitive compensation of $220K–$285K OTE + meaningful equity . US visa support including H-1B transfers and TN visas . Originally posted on Himalayas

地点：纽约州纽约市 / 加州圣马特奥 / 美国远程 雇佣类型：全职 经验：3–10年 薪酬：$176K–$228K 基本工资 | $220K–$285K OTE + 有意义的股权 签证：支持H-1B转移和TN签证担保；O-1按个案考虑 关于该职位 我们正在招聘一名AI Field Engineer / Forward Deployed Engineer（FDE），加入我们AI的高速度团队。你将直接与雄心勃勃的AI原生公司合作，将复杂的AI挑战转化为生产就绪的系统。这是一个高度动手实践的角色，位于AI工程、产品和客户交付的交汇处。你将构建POC、MVP和生产集成，同时直接与客户、客户主管和工程团队合作。你还将与技术和高管利益相关者接触，讨论架构、战略和业务成果。这不是传统的咨询或解决方案角色——你将亲自动手写代码、部署系统、解决技术问题，并直接为我们的产品和平台做出贡献。 你将做什么 直接与客户合作，了解他们的技术和业务挑战。 设计并构建POC、MVP和生产AI应用。 在生产中部署和优化LLM和生成式AI工作负载。 使用开源模型、推理基础设施和AI/ML平台。 与客户工程团队、客户主管以及Fireworks产品/工程团队协作。 将客户需求转化为可扩展的技术解决方案。 排查复杂的AI、基础设施和部署挑战。 向工程师和高管利益相关者沟通技术架构和权衡。 直接向代码库贡献代码和产品改进。 将客户经验转化为产品反馈，并帮助塑造我们的路线图。 从初始发现到生产部署，对项目承担所有权。 我们在寻找什么 我们在寻找兼具强大技术深度和出色客户面向技能的工程师。你可能来自以下背景： Forward Deployed Engineer AI/ML Engineer Applied AI Engineer AI Solutions Engineer Solutions Architect Sales Engineer Customer Engineer ML/AI Infrastructure Engineer 具备强大技术深度的Customer Success Engineer 要求 3–10年客户面向技术或AI/ML工程角色的经验。 强大的Python编程技能。 构建和部署AI/ML或生成式AI应用的经验。 使用LLM和/或开源AI模型的经验。 能够直接与客户合作并清晰沟通技术概念。 构建POC并推动解决方案走向生产的经验。 强大的问题解决能力以及在模糊环境中有效运作的能力。 愿意在工程、客户交付和产品方面动手实践。 技术经验 具备以下部分经验高度相关： Python vLLM SGLang TensorRT-LLM Kubernetes AWS、Azure或GCP AWS Bedrock / SageMaker Azure AI Foundry GCP Vertex AI LLM微调，包括SFT、DPO或RFT GPU基础设施 模型推理和优化 你不需要具备所列每一项技术的经验，但你应该在AI/ML工程方面有强大的基础，并能够快速学习。 为什么加入？ 直接与前沿AI公司合作。 构建从原型走向生产的真实AI系统。 跨工程、产品和客户交付工作。 直接为AI基础设施平台做出贡献。 加入一个高度技术化、以构建者为先的团队。 具有竞争力的薪酬$220K–$285K OTE + 有意义的股权。 美国签证支持，包括H-1B转移和TN签证。 最初发布于Himalayas

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