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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Amazech Systems Pvt LtdDelhi, IN
24 days ago
Job type
  • Remote
Job description

About the Role :

We are seeking a skilled and motivated AI Engineer to join our team remotely. In this role, you will be working at the intersection of AI-assisted development and modern software engineering, leveraging tools like Replit, Cursor, Bolt, and GitHub Copilot to enhance development workflows. Youll be responsible for integrating AI-generated code into existing codebases, building and testing new modules, and ensuring production readiness through efficient deployment and CI / CD pipelines.

This is an exciting opportunity to work in a cutting-edge environment with the flexibility of a fully remote position.

Key Responsibilities Development :

  • Utilize tools such as Replit, Cursor, Bolt, and GitHub Copilot to accelerate development and improve code quality.
  • Collaborate with AI tools to generate and optimize code solutions for various Washing & Integration :
  • Review and refactor AI-generated code to meet quality and performance standards.
  • Seamlessly integrate new modules into existing codebases while maintaining architectural Setup & Module Testing :
  • Spin up and manage Virtual Machines (VMs) to build, test, and validate new code modules efficiently.
  • Rapid prototyping and proof-of-concept development using virtualized & DevOps :
  • Design and maintain end-to-end deployment pipelines for production-grade applications.
  • Implement and manage CI / CD workflows to ensure smooth and reliable software releases.

Required Skills & Experience :

  • Strong programming skills in Python, JavaScript, or similar languages commonly used in AI / ML and software engineering.
  • Experience with modern AI developer tools such as GitHub Copilot, Replit, Cursor, Bolt, etc.
  • Proven experience in refactoring, reviewing, and integrating AI-generated or legacy code.
  • Familiarity with setting up and managing Virtual Machines for development and testing.
  • Solid understanding of CI / CD pipelines and deployment best practices.
  • Good grasp of software architecture, version control (Git), and agile development methodologies.
  • Nice to Have :

  • Experience with containerization tools (e.g., Docker) and cloud services (e.g., AWS, GCP, Azure).
  • Exposure to AI / ML model deployment workflows.
  • Familiarity with DevOps practices and tools (e.g., Jenkins, GitHub Actions, Terraform).
  • (ref : hirist.tech)

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    Artificial Intelligence Engineer • Delhi, IN