Chatbot Developer – Conversational AI at TriTech Enterprise Systems, Inc.

Hyattsville, Kentucky, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

40.0

Posted On

13 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Conversational AI, Azure Bot Framework SDK v4, C#, .NET, JavaScript, MuleSoft, Salesforce, Azure OpenAI, LLM Orchestration, NLU, Adaptive Cards, Azure Cosmos DB, Power BI, Azure Application Insights, CI/CD, HTML/CSS

Industry

IT Services and IT Consulting

Description

*** This is a three-month contract. TriTech Enterprise Systems is seeking a talented and passionate Conversational AI Developer to 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. The candidate 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 to Microsoft Foundry and the Azure SDK for Agents 365. 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 optimize conversational flows and minimize hallucinations continuously. 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. Technical / Professional Qualifications Required: 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 Qualifications: 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.

Responsibilities

Develop and optimize scalable chatbots and AI agents while migrating the current Azure Bot Framework stack to Microsoft Foundry. Integrate conversational interfaces with enterprise systems like PeopleSoft and Salesforce using MuleSoft.