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AI Chatbot Engineer: NLP, Multi‑Channel UX & Scale

Job in Laredo, Webb County, Texas, 78040, USA
Listing for: Devitechs
Full Time position Listed on 2026-11-08
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR

Job Description & How to Apply Below

✔️ Design and develop AI-powered chatbot solutions.
Enhance automation and user interaction experiences.

✔️ Implement NLP and conversational AI models.
Improve chatbot understanding and response accuracy.

✔️ Integrate chatbots with APIs and backend systems.
Enable seamless communication across platforms.

✔️ Train and fine-tune chatbot models.
Continuously improve performance and accuracy.

✔️ Monitor chatbot performance and usage.
Optimize conversations based on analytics.

✔️ Develop multi-channel chatbot solutions.
Support web, mobile, and messaging platforms.

✔️ Analyze user interactions and feedback.
Enhance conversation flows and engagement.

✔️ Implement intent recognition and entity extraction.
Improve chatbot intelligence and usability.

✔️ Ensure scalability of chatbot systems.
Handle high volumes of user interactions.

✔️ Debug and resolve chatbot issues.
Maintain system reliability and efficiency.

✔️ Collaborate with AI and product teams.
Deliver innovative conversational solutions.

✔️ Maintain chatbot documentation and workflows.
Support development and maintenance activities.

✔️ Integrate voice and text-based interactions.
Enhance user engagement across channels.

✔️ Ensure data privacy and compliance standards.
Protect user information and conversations.

✔️ Use tools like Dialogflow, Rasa, or similar platforms.
Develop advanced conversational AI solutions.

✔️ Conduct testing and validation of chatbot systems.
Ensure high-quality user experience.

✔️ Automate business workflows using chatbots.
Improve operational efficiency.

✔️ Stay updated with AI and chatbot technologies.
Adopt latest trends and innovations.

✔️ Improve chatbot UX and conversational design.
Deliver seamless and intuitive interactions.

✔️ Support deployment and ongoing maintenance.
Ensure long-term stability and performance.

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