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Virtusa Verified
Information Technology, IT Services, Consulting

Full Stack AI Engineer

New York, New York, United StatesOnsiteFull TimePosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Full Stack AI Engineer to build applications that seamlessly integrate AI/ML outputs into user-facing and backend workflows. This role involves developing APIs for model inference, prompt flows, and agent integrations, while also implementing AI-enabled UI/UX features. You will leverage AI coding assistants, apply secure SDLC practices, and collaborate with architects. The ideal candidate has 5+ years of production software development experience in Java/Python/.NET, familiarity with web frameworks like React, REST API development, CI/CD, automated testing, and integrating with ML services or LLM runtimes. Experience with AI feature observability and building internal tools or copilots is also desired.

Build full-stack applications that integrate AI/ML outputs into user-facing and backend workflows.

  • Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool integrations.
  • Leverage AI coding assistants (e.g., GitHub Copilot, agentic IDEs) to accelerate delivery while maintaining quality.
  • Implement UI/UX experiences for AI-enabled features (explanations, feedback loops, human-in-the-loop controls).
  • Apply secure SDLC practices: code reviews, testing, dependency management, and vulnerability remediation.
  • Partner with architects and platform teams to align to standards and reuse shared components.
  • 5+ years building production software (backend and/or frontend) in Java/Python/.NET ecosystems.
  • Experience with web frameworks and modern UI (React or similar) and REST API development.
  • Working knowledge of CI/CD, Git workflows, and automated testing.
  • Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs.
  • Strong problem-solving skills and ability to deliver iteratively in an agile environment.
  • Experience building internal tools or copilots with prompt engineering and tool/function calling.
  • Experience with observability for AI features (quality metrics, prompt/model versioning).
  • UX experience designing AI interactions and feedback capture.
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