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Quest Global

Engineering services, digital transformation, asset management

AI Automation Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience.
  • Python is required.
  • C#/.NET is required.
  • Advanced proficiency with REST APIs, webhooks, and JSON is required.
  • Advanced proficiency with Generative AI and large language models is required.
  • Advanced proficiency with AI agents and retrieval-augmented generation is required.
  • Advanced automation and troubleshooting skills are required.
  • Git is required.
  • Ombantu is required.
  • n8n or workflow automation is required.
  • SQL/database integration is required or desired.
  • JavaScript or TypeScript is desirable.
  • Playwright or Selenium is desirable.
  • PDF/OCR automation is desirable.
  • CAD/NX automation is preferred.

Responsibilities

  • Develop, support, and enhance AI-powered automation solutions.
  • Convert manual processes into reliable, scalable, AI-driven automation solutions.
  • Provide solution architecture, complex integrations, technical ownership, production support, and optimization.
  • Mentor junior engineers.

Desired Qualifications

  • JavaScript or TypeScript experience is desirable.
  • Playwright or Selenium experience is desirable.
  • PDF/OCR automation experience is desirable.
  • CAD/NX automation is preferred.
  • SQL/database integration is identified as required or good to have.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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