AI Copilot Engineer for Contact Center Applications

TELUS Digital

Pasig

Hybrid

PHP 1,800,000 - 3,000,000

Full time

14 days+
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Job summary

TELUS Digital is seeking a dynamic Co-Pilot AI Engineer to deploy and customize AI copilots for contact centers. You will map customer needs to technical specs for integrations, write requirements, and conduct hands-on API configurations with CRMs and telephony systems.

You will also educate internal teams and external stakeholders on AI-driven solutions. The role emphasizes prompt engineering, data flow design, and staying current with generative and conversational AI trends to deliver

Qualifications

  • Bachelor’s degree in CS/IS or related field.
  • 5+ years as software engineer, data scientist or similar in tech-driven env.
  • Experience designing technical requirements and data flows for low-code/API integrations.
  • Strong Python experience with FastAPI/Flask/Django.

Responsibilities

  • Translate contact center needs into scalable AI copilot solutions.
  • Convert requirements into technical specs for low-code/API integrations.
  • Perform hands-on integrations and API configurations with CRMs, telephony, and case management tools.
  • Design data flows and document requirements for seamless integration with contact center platforms.
  • Provide demos, workshops, and stakeholder briefings as a product evangelist.
  • Offer prompt engineering and optimization for AI copilot responses.

Skills

Python
API integration
Requirements writing
Stakeholder communication
Problem solving

Education

Bachelor’s degree in Computer Science
Information Systems

Tools

FastAPI
Flask
Django

Job description

TELUS Digital is seeking a dynamic Co-Pilot AI Engineer to deploy and customize AI copilots for contact centers. You will map customer needs to technical specs for integrations, write requirements, and conduct hands-on API configurations with CRMs and telephony systems.

You will also educate internal teams and external stakeholders on AI-driven solutions. The role emphasizes prompt engineering, data flow design, and staying current with generative and conversational AI trends to deliver

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