岗位能力对标
Databricks

AI Engineer - FDE (Forward Deployed Engineer)

Remote - India · 全职 · 工程与基础设施

岗位更新:2026-07-31资料抓取:2026-08-04查看原始招聘来源

需要对标的能力

AI 应用 · 人机协同RAG · 检索增强生成Agent · 智能体设计多 Agent 协作Agent 工程 · Harness / 脚手架模型微调 · Post-TrainingAI Infra · 推理部署评测 · Eval 方法论

岗位职责与要求

CSQ326R35 AI Engineer - FDE (Forward Deployed Engineer) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations. The impact you will have: · Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems · Own production rollouts of consumer and internally facing GenAI applications · Serve as a trusted technical advisor to customers across a variety of domains · Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally · Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: · Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy · Expertise in deploying production-grade GenAI applications, including evaluation and optimizations · Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. · Experience building production-grade machine learning deployments on AWS, Azure, or GCP · Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience · Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike · Passion for collaboration, life-long learning, and driving business value through AI · [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets · Willing to travel once every 4-8 weeks to see customers (as needed) About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
查看中文参考译文
CSQ326R35 AI Engineer - FDE (Forward Deployed Engineer) Mission AI Forward Deployed Engineering (AI FDE) 团队是 Databricks 旗下高度专业化的面向客户的 AI 团队。我们交付专业服务,帮助客户构建并投产业界首创的 AI 应用。我们与 engineering、product、developer relations 跨职能协作,共同制定长期战略优先级和计划,同时为内部 subject matter expert (SME) 团队提供支持。我们将团队视为一个 ensemble:我们寻找具有独特专长的个人,以提升团队的整体实力。如果你热爱与客户、队友合作,并对 GenAI、LLMOps 以及更广泛的 ML 领域的最新趋势充满好奇,那么这个团队非常适合你。接受远程办公。 The impact you will have: · 开发前沿的 GenAI 解决方案,融合 Databricks AI research 的最新技术来解决客户问题 · 负责面向消费者和内部的 GenAI 应用的投产上线 · 作为可信赖的技术顾问,为跨多个领域的客户提供服务 · 在 Data + AI Summit 等会议上发表演讲,成为内部和外部公认的思想领袖 · 与 product 和 engineering 团队跨职能协作,影响优先级并塑造 product roadmap What we look for: · 具备构建 GenAI 应用的经验,包括 RAG、multi-agent systems、Text2SQL、fine-tuning 等,使用 HuggingFace、LangChain 和 DSPy 等工具 · 具备部署生产级 GenAI 应用的专业知识,包括 evaluation 和 optimizations · 多年 hands-on 的行业数据科学经验,熟练使用常见的 machine learning 和 data science 工具,如 pandas、scikit-learn、PyTorch 等 · 具备在 AWS、Azure 或 GCP 上构建生产级 machine learning deployments 的经验 · 定量学科的 Graduate degree(Computer Science、Engineering、Statistics、Operations Research 等)或同等的实践经验 · 具备向非技术受众和技术受众沟通或教授技术概念的经验 · 热衷于协作、终身学习,并通过 AI 驱动业务价值 · [Preferred] 具备使用 Databricks Intelligence Platform 和 Apache Spark™ 处理大规模分布式数据集的经验 · 愿意每 4-8 周出差拜访客户(按需) About Databricks Databricks 是数据与 AI 公司。全球超过 10,000 家组织——包括 Comcast、Condé Nast、Grammarly 以及超过 50% 的 Fortune 500 企业——依赖 Databricks Data Intelligence Platform 来统一和普及数据、analytics 和 AI。Databricks 总部位于 San Francisco,在全球设有办公室,由 Lakehouse、Apache Spark™、Delta Lake 和 MLflow 的原创作者创立。欲了解更多信息,请在 Twitter、LinkedIn 和 Facebook 上关注 Databricks。 Benefits 在 Databricks,我们努力提供全面满足所有员工需求的福利和 perks。有关您所在地区提供的福利的具体详情,请点击 here。 Our Commitment to Diversity and Inclusion Compliance 如果履行工作职责需要访问 export-controlled technology 或 source code,是否申请美国政府许可证由 Employer 自行决定,Employer 可仅基于此原因拒绝继续考虑申请人。

译文仅供辅助阅读,具体要求以原始招聘来源为准。