聊天机器人开发工程师 – 会话人工智能
Chatbot Developer – Conversational AI
- Chatbot Developer – 远程
- 美国境内100%远程
- 9个月合同
- 必须是TriTech Enterprise Systems的员工
- 简历截止日期为2026年9月22日
TriTech Enterprise Systems（TriTech）正在寻找一位有才华、充满热情的Chatbot/对话式AI开发人员。该候选人将在管理当前的聊天机器人实施和设计、构建及优化我们下一代对话体验中发挥关键作用。在此职位中：
· 您将弥合传统NLU系统与现代生成式AI编排之间的差距
- 您将负责维护我们的企业基础架构，同时积极推动向自主代理框架的迁移策略
理想的候选人具备深厚的微软对话生态系统技术背景，对企业的集成层有深刻理解，并热衷于提供无缝、类人但透明的用户体验。
主要职责：
·
端到端开发：主导可扩展聊天机器人、虚拟助手和AI代理的全生命周期开发（从对话设计到生产部署）
- 架构迁移：维护并优化我们当前的Azure Bot Framework SDK v4堆栈，同时积极参与向Microsoft Foundry和Agents 365 Azure SDK的架构迁移
- 企业集成：使用MuleSoft作为核心企业服务总线，设计并实现稳健的API集成，以协调对话前端与核心后端系统（包括PeopleSoft和Salesforce）之间的数据交换
- 全渠道对话管理：使用Microsoft Dynamics Adaptive Cards、知识管理系统和自动化流程，在网页、移动端和消息渠道上创建和管理丰富、动态的对话界面
- 实时聊天和案件管理：构建无缝的升级协议，包括将实时客服交接至Salesforce Live Chat，以及通过Salesforce Case Management API自动路由工单
- NLU和LLM编排：通过结合传统NLU（Azure Conversational Language Understanding/CLU）与大型语言模型（Azure OpenAI/GPT），实现混合AI策略，用于智能意图路由、故障处理和上下文相关内容生成
- 性能优化：使用数据可视化工具分析对话日志、内容覆盖率和意图准确率指标，持续优化对话流程并最小化问题
查看英文原文
- Chatbot Developer – Remote
- 100% Remote within USA
- 9 months contract
- Must be an employee of TriTech Enterprise Systems
- Resumes are due by 9/22/2026
TriTech Enterprise Systems (TriTech) is seeking a talented, passionate Chatbot/Conversational AI Developer. This candidate will play a pivotal role in managing current-day chatbot implementations and designing, building, and optimizing our next-generation conversational experiences. In this role:
· You will bridge the gap between classical NLU systems and modern Generative AI orchestrations
- You will be responsible for maintaining our robust enterprise foundations while actively driving our migration strategy toward autonomous agent frameworks.
The ideal candidate possesses a deep technical background in the Microsoft conversational ecosystem, a strong understanding of enterprise integration layers, and a passion for delivering seamless, human-like, yet transparent user experiences.
Key Responsibilities:
·
End-to-End Development: Drive the full lifecycle development (from conversational design to production deployment) of scalable chatbots, virtual assistants, and AI agents.
- Architecture Migration: Maintain and optimize our current Azure Bot Framework SDK v4 stack while actively participating in the architectural migration toward Microsoft Foundry and Agents 365 Azure SDK.
- Enterprise Integration: Design and implement robust API integrations using MuleSoft as the central enterprise service bus to orchestrate data exchange between conversational front ends and core backend systems, including PeopleSoft and Salesforce.
- Omnichannel Dialog Management: Author and manage rich, dynamic conversational interfaces using Microsoft Dynamics Adaptive Cards, Knowledge Management systems, and Automation Flows across web, mobile, and messaging channels.
- Live Chat and Case Management: Build seamless escalation protocols, including live agent handoffs to Salesforce Live Chat and automated ticket routing via Salesforce Case Management APIs.
- NLU and LLM Orchestration: Integrate Hybrid AI strategies by combining classical NLU (Azure Conversational Language Understanding/CLU) with Large Language Models (Azure OpenAI/GPT) for intelligent intent routing, fallback handling, and contextual content generation.
- Performance Optimization: Analyze conversation logs, containment rates, and intent accuracy metrics using data visualization tools to continuously optimize conversational flows and minimize hallucinations.
- Cross-Functional Collaboration: Partner closely with Product Managers, UX Designers, and business stakeholders to translate complex business logic into intuitive user stories and turn technical constraints into delightful user experiences.
Required Experience:
·
3+ years of dedicated experience in software development with a specialized focus on Conversational AI, NLP/NLU, or LLM agent development.
- Microsoft Bot Stack Expertise: Deep, hands-on proficiency with Azure Bot Framework SDK v4 (including Waterfall Dialogs, custom middleware, and state management) alongside experience or strong theoretical knowledge of Copilot Studio / Agents 365.
- Core Backend Skills: Strong programming fundamentals with advanced proficiency in C#, .NET, and JavaScript, combined with frontend capabilities (HTML/CSS) for custom web-chat styling and Adaptive Card rendering.
- Enterprise Systems Integration: Direct experience working with MuleSoft layers to pull/push data from legacy enterprise platforms like PeopleSoft and CRM systems like Salesforce.
Preferred Experience:
·
Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
- Analytics Driven: Familiarity with utilizing Power BI or Azure Application Insights to analyze drop-off points, intent confusion matrices, and chatbot containment metrics.
- Modern DevOps: Experience defining and maintaining CI/CD pipelines for conversational assets across Dev, Test, and Production environments.
- Industry Context: Experience implementing conversational solutions within Higher Education or complex, multi-stakeholder enterprise environments is a plus.
- Soft Skills: Exceptional communication skills with the ability to articulate technical AI constraints to non-technical business stakeholders.
Benefits & Culture:
·
Cutting-Edge Innovation: Be part of a forward-thinking team actively reshaping the digital student and staff experience through advanced AI and Agentic workflows.
- Impact-Driven Work: Build tools that directly solve user pain points, handling high-volume transactions with immediate real-world impact.
- Professional Growth: Work in a fast-paced environment that actively supports upskilling in Generative AI, LLM orchestration, and next-generation Microsoft AI technologies.
TriTech is an equal opportunity employer!
Originally posted on Himalayas