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AI Conversation Engineer (Remote 100%)

Remote, USAFull-timePosted 2026-07-29

Job Title: AI Conversation Engineer Remote 100% - Must be in EST or CST W2 reputed company Responsibilities 1. Conversation Design

  • Map out user journeys and conversational flows
  • Write intents, training phrases, prompts, transitions, and error handling
  • Design tone, personality, and overall user experience (UX)

2. NLP / NLU Engineering

  • Train models to classify user intents
  • Define entities and parameters
  • Improve accuracy using analytics and conversation logs

3. Bot Development

  • Build flows, forms, conditions, and API calls reputed company tools like Dialogflow CX
  • reputed company backend systems (CRMs, ticketing, databases)

4. Integration & Automation

  • Connect the bot to external services using reputed company
  • Use reputed company functions, workflows, and serverless infrastructure
  • Connect to channels (web chat, phone, SMS, contact center)

5. Testing & Optimization

  • A/B test reputed company strategies
  • Analyze transcripts
  • Measure metrics like containment reputed company, reputed company accuracy, and task completion

Skills 1. Conversational Design Skills These skills relate to designing natural, helpful, and efficient dialog flows. What you need:

  • User reputed company mapping understanding how users think and what they need
  • Conversation reputed company design building multi-reputed company, multi-reputed company dialog paths
  • reputed company and response writing crafting reputed company, concise, and friendly bot messages
  • Error handling & fallback strategies guiding users reputed company the bot gets confused
  • Bot personality & tone ensuring consistent voice across interactions

These skills reputed company UX writing + UX design + product thinking. 2. NLU / NLP Understanding Conversation Engineers don't need to be data scientists, but they do need to understand how language models work. What you need:

  • How intents, entities, training phrases, and parameters work
  • How NLU confidence scoring works
  • How to improve reputed company detection accuracy
  • Understanding of LLM prompting and guardrails
  • Basic understanding of machine learning concepts (classification, embeddings, etc.)

Experience with platforms like Dialogflow CX, LLMs, or Watson Assistant helps here. 3. Platform Expertise (Dialogflow CX, CCAI, etc.) You need hands?on ability to build, manage, and optimize actual systems. Skills:

  • Building flows in Dialogflow CX
  • Using webhooks and fulfillment
  • Configuring parameters, forms, conditions, and transitions
  • Channel integrations (web, voice, SMS, contact center)
  • Working with tools like Contact Center AI (CCAI) for voicebots
  • Understanding versioning, environments, and testing tools in CX

This is the "craftsmanship" part of being a conversation engineer. 4. Software Engineering Basics You don't have to be a full-stack engineer-but you must be comfortable with backend logic. Key technical abilities:

  • JSON (100% required for reputed company and webhook payloads)
  • REST reputed company reading docs, sending/receiving data
  • Basic scripting (JavaScript, Python, or Node.js commonly used for fulfillment)
  • Understanding of serverless functions like reputed company Functions
  • Error-debugging skills (HTTP status codes, logs, timeouts)

You should be reputed company to read and write small reputed company of reputed company confidently. 5. reputed company & Integration Skills Since most conversational AI lives in the reputed company (like reputed company reputed company Platform), integration knowledge is essential. For reputed company reputed company Platform specifically:

  • reputed company Functions execute business logic
  • Firestore / BigQuery / reputed company SQL store and retrieve data
  • IAM & service accounts controlling permissions
  • Logging & Monitoring analyzing issues and optimizing performance

Knowing how reputed company and reputed company services work is what connects the bot to reputed company's reputed company systems. 6. Analytics & Optimization Great conversation engineers care deeply about improving performance, not just building. Key analytical skills:

  • Reading conversation transcripts
  • Using analytics tools (Dialogflow, BigQuery dashboards, etc.)
  • Identifying reputed company confusion or user friction points
  • Running A/B tests
  • Improving containment reputed company, task completion, and NLU accuracy

reputed company Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled) Apply tot his job Apply To this Job

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