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Quest Global

Engineering services, digital transformation, asset management

AI/ML Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • Experience developing with Claude, Gemini, or similar large language model software development kits or application programming interfaces.
  • Experience with cloud platforms.
  • Knowledge of data engineering and some knowledge of Amazon Web Services or another cloud platform.
  • Knowledge of multi-modal and agentic artificial intelligence frameworks and context engineering, with or without a framework.
  • Prior experience designing user-facing artificial intelligence features or tools.
  • Experience building application programming interfaces and sharing data between teams.
  • Experience as a backend or full-stack developer, preferably using Python or TypeScript.
  • Hands-on experience with cloud services and containerization technologies.

Responsibilities

  • Pilot next-generation technologies to solve problems traditional programming struggles with, using generative artificial intelligence or other machine learning techniques.
  • Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases.
  • Rapidly build prototypes to evaluate architecture.
  • Design and deliver natural language processing or large language model-based systems.

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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