出海雷达

Senior Backend Integration Engineer (Agentic AI & Enterprise SaaS)

AI开发工程限定地区(需当地身份)
公司Growthline Partners, LLC
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Contractor
发布时间今天
数据来源Himalayas
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关于增长线合作伙伴的 Growthline Partners 是一个商业软件和咨询公司,服务于中小企业制造商,经销商和项目中心的公司。我们设计并实施了 Zoho,Salesforce 和微软中的集成企业平台,将 CRM,项目/会计,分析和现代人工智能结合起来来推动可测量的结果.The Opportunity 我们正在构建一个内部基于 AI 的 SDR 演示程序,以展示搜索,推广,CRM 更新和后续行动的代理自动化。该解决方案组合了编排的 n8n,推理的 Lyzr (代理 AI), Outlook/Teams 的 Microsoft Graph,LinkedIn 丰富和 Zoho CRM.我们需要实践工程来实现后端集成设计 API,连接工具以及建立可靠的工作流程,可以扩展并扩大面向客户实施。责任 ·拥有后端集成了层:在 n8n 中实现强大的工作流程编译,整合代理终点,并连接企业 SaaS API. ·为代理部件设置安全服务 (例如 FastAPI/Flask);管理微软 Graph 和 Zoho CRM 的数据流程 (OAuth2/tenant 应用程序); · 建立 Lyzr 代理终端点和 LinkedIn 丰富的适配器/连接器;正常化和记录 CRM 活动,可进行审计。·仪器可靠性和可观察性 (无效率,重试/退出,DLQ,指标,健康检查,警报). ·与提示程序/KB/进程所有者合作将播放书转换为可调用服务和可重复使用的工作流程;贡献技术文件和示范交付包。·硬件安全与合规:秘密管理,令牌更新,基于角色访问,PII 处理;符合扩展式部署 (Docker/Kubernetes) 的操作要求。· 5年以上的后端工程/SaaS 平台集成;强大的 API 设计 (REST/GraphQL),Webhooks,事件驱动架构。·经验证明的工作流动引擎 (最好是 n8n)和 Python 服务 (FastAPI/Flask),包括容器化和 CI/CD. ·与微软图表 (Outlook 邮件发送,团队通知)和 Zoho CRM API,OAuth 范围/许可以及 CRM 活动记录进行实践接触。·对代理人工智能平台 (Lyzr,LangChain) 的实际接触并将 AI 输出融入决定性工作流程。·可靠性:结构化的登录,追踪,指标/监测,

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This is a remote position.
About Growthline Partners
Growthline Partners is a business software and consulting firm serving SMB manufacturers, distributors, and project‑centric companies. We design and implement integrated enterprise platforms across Zoho, Salesforce, and Microsoft—bringing together CRM, project/accounting, analytics, and modern AI to drive measurable outcomes.
The Opportunity
We’re building an internal AI-powered SDR demo to showcase agentic automation for prospecting, outreach, CRM updates, and follow‑ups. The solution combines n8n for orchestration, Lyzr (agentic AI) for reasoning, Microsoft Graph for Outlook/Teams, LinkedIn enrichment, and Zoho CRM as the system of record. We need a hands‑on engineering lead to own backend integration—designing APIs, connecting tools, and standing up reliable workflows that can scale and be extended for client-facing implementations.
Responsibilities
·
Own the backend integration layer: implement robust workflow orchestration in n8n, integrate agent endpoints, and connect enterprise SaaS APIs.

  • Stand up and secure services for agentic components (e.g., FastAPI/Flask); manage auth flows (OAuth2/tenant apps) for Microsoft Graph and Zoho CRM; enforce data consistency with Zoho as the source of truth.
  • Build adapters/connectors for Lyzr agent endpoints and LinkedIn enrichment; normalize and log activities to CRM with auditability.
  • Instrument reliability and observability (idempotency, retries/backoff, DLQs, metrics, health checks, alerting).
  • Collaborate with prompts/KB/process owners to translate playbooks into callable services and reusable workflows; contribute to technical docs and demo handoff packs.
  • Harden security & compliance: secrets management, token refresh, role‑based access, PII handling; align with scalable deployment (Docker/Kubernetes, cloud).

Requirements

  • 5+ years in backend engineering/integration for SaaS platforms; strong API design (REST/GraphQL), webhooks, event‑driven architecture.
  • Proven experience with workflow engines (preferably n8n) and Python services (FastAPI/Flask), including containerization and CI/CD.
  • Hands‑on with Microsoft Graph (Outlook mail send, Teams notifications) and Zoho CRM APIs, OAuth scopes/permissions, and CRM activity logging.
  • Practical exposure to agentic AI platforms (Lyzr, LangChain) and integrating AI outputs into deterministic workflows.
  • Reliability mindset: structured logging, tracing, metrics/monitoring, circuit breakers, idempotency, and robust error handling.
  • Clear written communication and the ability to document architectures and hand off to delivery teams.

Nice to Have
· Experience with LinkedIn APIs for lead enrichment and compliance‑aware usage.

  • Background in manufacturing/distribution/project‑centric businesses or consulting integrations across Zoho/Salesforce/Microsoft.
  • Knowledge of vector databases and memory for agent workflows (e.g., Pinecone/Azure Cognitive Search).

How We Work
You’ll join a small, senior team that values speed with rigor—shipping demos that are client‑ready while maintaining enterprise‑grade fundamentals (security, reliability, traceability). We prioritize pragmatic design, clean interfaces, and documentation that lets others build on your work.
Apply
Send your GitHub/portfolio and a brief note describing a complex multi‑SaaS integration you’ve led (auth. model, error handling, observability) at with subject line “Backend Integration Engineer – Agentic AI”.

Originally posted on Himalayas

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