前移部署工程师 - 代理
Forward Deployed Engineer - Agents
Level AI 正在改变企业理解并与客户互动的方式。我们的 AI 原生 CX 平台结合了对话智能、实时代理指导和 AI 虚拟代理，帮助品牌大规模地提供卓越的客户体验。领先的公司使用 Level AI 自动化日常互动，实时辅导代理，并从语音、聊天、邮件和消息渠道的客户对话中解锁洞察。由 Battery Ventures、ENIAC 以及来自 Amazon Alexa、Google 和 Meta 的领先 AI 运营商支持，我们正在构建由代理 AI 和专业语言模型（SLMs）驱动的客户体验未来。在 Level AI，我们以紧迫感、主人翁精神和深厚的客户第一思维运作。我们重视那些行动迅速、思考清晰，并专注于为客户带来可衡量影响的建设者。
职位简介 - 作为 Forward Deployed Engineer - Agents，你将负责为客户实施 AI 虚拟代理和 CX 自动化工作流程的端到端执行。这是一个高度技术性且面向客户的角色，你将把业务需求转化为可投入生产的代理部署，从而带来可衡量的影响——包括问题拦截率、解决速度、客户满意度和运营效率。你将与客户和内部团队合作，定义成功标准，执行构建，并根据实际需求影响 Level AI 代理平台的演进。这个角色适合那些在快节奏环境中茁壮成长、享受交付面向客户的解决方案，并能在动手执行与结构化解决问题之间取得平衡的人。
在此职位中，你将负责：
- 从发现和范围定义到发布和优化，负责 AI 代理部署的端到端执行。
- 配置代理工作流、决策逻辑和自动化行为，以最大化准确性、可靠性和业务成果。
- 实现防护措施和验证框架，确保代理性能安全、合规且可预测。
- 构建、测试和验证与企业系统（如 CRM、工单系统、电话系统、数据平台）的集成。
- 与客户的技术利益相关者合作，定义成功标准，收集需求，并按时交付。
- 将客户需求转化为清晰的实施方案和文档。
- 与工程团队和产品团队保持紧密的反馈循环，以提升平台能力。
- 与产品、工程、设计和团队协作。
查看英文原文
About Level AI - Level AI is transforming how enterprises understand and engage with their customers. Our AI-native CX platform combines conversation intelligence, real-time agent guidance, and AI Virtual Agents to help brands deliver exceptional customer experiences at scale.Leading enterprises use Level AI to automate routine interactions, coach agents in real time, and unlock insights from customer conversations across voice, chat, email, and messaging channels.Backed by Battery Ventures, ENIAC, and leading AI operators from Amazon Alexa, Google, and Meta, we are building the future of customer experience powered by agentic AI and specialized language models (SLMs).At Level AI, we operate with urgency, ownership, and a deep customer-first mindset. We value builders who move fast, think clearly, and obsess over delivering measurable impact for customers.
About the Role - As a Forward Deployed Engineer - Agents, you will lead the end-to-end implementation of AI Virtual Agents and CX automation workflows for customers.This is a highly technical, customer-facing role where you will translate business requirements into production-ready agent deployments that drive measurable impact — including containment, resolution speed, customer satisfaction, and operational efficiency.You will partner with customers and internal teams to define success, execute builds, and influence the evolution of Level AI’s agentic platform based on real-world needs.This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical solutions, and balances hands-on execution with structured problem-solving.
In This Role, You Will -
- Own end-to-end execution of AI agent deployments from discovery and scoping through launch and optimization.
- Configure agent workflows, decision logic, and automation behaviors to maximize accuracy, reliability, and business outcomes.
- Implement guardrails and validation frameworks to ensure safe, compliant, and predictable agent performance.
- Build, test, and validate integrations with enterprise systems (e.g., CRM, ticketing, telephony, data platforms).
- Partner with customer technical stakeholders to define success criteria, gather requirements, and deliver against timelines.
- Translate customer needs into clear implementation plans and documentation.
- Run tight feedback loops with Engineering and Product to improve platform capabilities.
- Collaborate with Product, Engineering, Design, and GTM teams to deliver repeatable, best-in-class deployments.
Your Background Looks Something Like This -
- 5+ years in a technical customer-facing role (Solutions Engineering, Forward Deployed Engineering, Implementation Engineering, Technical Consulting, Technical PM, or similar).
- Strong technical foundation - comfortable coding, working with APIs, and building integrations end-to-end.
- Experience delivering production-grade enterprise solutions requiring testing, validation, and iteration.
- Ability to communicate with senior technical stakeholders and translate requirements into execution plans.
- Comfortable operating in fast-moving, ambiguous environments.
- Confortable working in EST hours(3:30 AM IST)
Even Better If You Have -
- Experience building with LLMs or AI agents (prompting, evaluation, guardrails, workflow design).
- Experience integrating enterprise SaaS systems (CRM, ticketing, data pipelines) with attention to security and compliance.
- Computer Science, Engineering, or Math degree (or equivalent experience).
- Strong product instincts - ability to define success metrics and contribute customer insights to product evolution.
Originally posted on Himalayas