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Quest Global

Engineering services, digital transformation, asset management

Agentic AI Engineers

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • The candidate must have 3–6 years of strong development experience in Python.
  • The candidate must have 3 years of hands-on experience in data analytics and insights generation.
  • The candidate must have 2–3 years of experience designing and developing AI/LLM-based solutions.
  • The candidate must have a proven track record of building scalable, data-driven, AI-powered enterprise applications.
  • The candidate must have experience with AI/LLM integration, intelligent automation, and end-to-end solution delivery.
  • The candidate must have analytical and problem-solving skills, as well as communication and stakeholder-management skills.

Responsibilities

  • Analyze requirements and design, develop, modify, and deploy software components anywhere in the Windows software stack.
  • Write effective and reusable code according to best practices.
  • Perform unit testing, verification, and validation of developed code.
  • Develop technical documents and handbooks that accurately represent application design and code.
  • Work as an individual contributor aligned with project priorities.
  • Execute medium-to-high-complexity project tasks and generate deliverables on time and to the required quality using defined processes, tools, and standards.

Desired Qualifications

  • Experience deploying Agentic AI solutions is an added advantage.
  • Experience or willingness to work in other programming languages is desirable.
  • Semiconductor domain experience is desirable.
  • Readiness to learn, unlearn, and relearn is desirable.

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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