Multilingual Voice AI Chatbot Engineer

Devitechs; Texas; On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Flexible work hours

Job summary

A leading AI solutions company in the United States is seeking an experienced chatbot developer. You will develop conversational agents using generative AI like ChatGPT and integrate them into platforms such as WhatsApp and Slack. The ideal candidate should have expertise in designing conversational flows and implementing automation for customer support. Join a dynamic team that values innovation and continuous improvement in AI features and integrations.

Qualifications

• Experience in developing conversational agents using LLMs.
• Proficient in integrating chatbots with various platforms.
• Ability to implement safety measures for AI responses.

Responsibilities

• Develop conversational chatbots using ChatGPT and generative AI.
• Design persona-driven conversational flows for different brands.
• Integrate chatbots with platforms like WhatsApp, Slack, and company websites.
• Optimize routing to human agents when needed.

Skills

Conversational design

Generative AI models

Chatbot integration

Automation

Tools

ChatGPT

AWS

Azure

GCP

Job description

✔️ Develop conversational chatbots using ChatGPT and other generative AI models.

✔️ Build persona-driven conversational flows that fit brand tone and business needs.

✔️ Implement knowledge-base integration using RAG to provide factual answers.

✔️ Develop automation for customer support, ticket creation, onboarding, and FAQs.

✔️ Design custom ChatGPT plug-ins and extensions for specific workflows.

✔️ Create voice-enabled experiences using LLM + speech-to-text + text-to-speech APIs.

✔️ Integrate chatbots with WhatsApp, SMS, Slack, Teams, and company websites.

✔️ Optimize conversation routing and escalation to human agents when needed.

✔️ Build multilingual chat solutions using LLM-driven translation features.

✔️ Implement safety layers to handle harmful queries and prohibited intentions.

✔️ Measure chatbot performance through accuracy, CSAT, and resolution rates.

✔️ Analyze chat transcripts to continually refine LLM behavior.

✔️ Ensure chatbot responses adhere to company legal and compliance standards.

✔️ Maintain logs, training datasets, and prompt libraries.

✔️ Debug issues related to model confusion, off-topic replies, or hallucinations.

✔️ Build custom tools to automate content generation, forms, and structured outputs.

✔️ Conduct A/B testing on prompts, model choices, and personality styles.

✔️ Collaborate with designers to refine UI/UX of chat interfaces.

✔️ Deploy chatbots on cloud platforms such as AWS, Azure, GCP, or Render.

✔️ Continuously upgrade chatbot features as new AI capabilities emerge.