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Remote Conversation Design Jobs in Washington (NOW HIRING)

Hathiant

AI (Chatbot) Engineer

Herndon, VA · Remote

Remote Job: AI (Chatbot) Engineer Schedule:Full-time Shift: Day Job Description AcisTek is seeking ... Design conversational flows that allow chatbots to respond accurately to user queries and maintain ...

VIS IT Solutions Inc

Angular Developer

Dulles, VA · Remote

$56 - $68.50/hr

Remote - Design and build scalable, maintainable frontend systems using Angular (v16+). - Develop ... or conversational UIs. - Familiarity with React, especially in hybrid or multi-framework ...

Wsgr

Senior Software Developer

Washington, DC · On-site +1

$147K - $198K/yr

... design and implement changes. This position is available as a fully remote work schedule. About ... You turn conversation starters into user-focused value by engaging stakeholders, identifying ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support ...

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Remote Conversation Design information

What is remote conversation design?

Remote conversation design is the process of creating, testing, and refining conversational interfaces—like chatbots or voice assistants—while working from a location outside of a traditional office. Conversation designers use tools to develop natural, user-friendly interactions that help users achieve their goals efficiently. This role often involves collaboration with developers, UX designers, and clients through virtual meetings and digital platforms. Remote conversation designers need strong communication skills, creativity, and expertise in language and user experience.

How does a remote conversation designer typically collaborate with product and engineering teams?

As a remote conversation designer, you’ll frequently partner with product managers, engineers, and UX researchers to create seamless conversational experiences. Collaboration usually involves regular video meetings, shared design tools, and asynchronous feedback cycles to ensure alignment on user flows and technical constraints. Clear documentation and proactive communication are essential for bridging the remote gap, allowing you to iterate quickly and address feedback efficiently. You may also participate in virtual workshops or design sprints to co-create solutions and refine conversational logic.

What are the key skills and qualifications needed to thrive as a Remote Conversation Designer, and why are they important?

To thrive as a Remote Conversation Designer, you need expertise in linguistics, UX writing, and user experience design, often supported by experience in designing chatbots or voice assistants. Familiarity with tools like Dialogflow, Voiceflow, or Botpress, and knowledge of prototyping and analytics platforms are typically required. Strong soft skills include empathy, creative problem-solving, and clear communication to effectively capture user intent and collaborate with cross-functional teams. These skills ensure engaging, user-friendly conversational interfaces that meet both business and user needs in a remote work setting.
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Remote Conversation Design jobs near you
Chatbot Developer - Conversational AI

Chatbot Developer - Conversational AI

Noblesoft Technologies

Adelphi, MD • Remote

Contractor

Posted 18 days ago

Job description

Role: Chatbot Developer - Conversational AI

Location: Remote (US) EST hours

Duration: 3 months

  

Role Overview
We are seeking a talented and passionate Conversational AI Developer to play a pivotal role in managing current day chatbot implantations 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.
 
Technical & Professional Qualifications
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 Qualifications
  • Data and State Management: Experience configuring and querying Azure Cosmos DB for storing conversation state, user context, and telemetry logs.
  • Analytics Driven: Familiarity 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.