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 :

AI-Enhanced 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 projects.

Code Washing & Integration :

- Review and refactor AI-generated code to meet quality and performance standards.

- Seamlessly integrate new modules into existing codebases while maintaining architectural integrity.

VM 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 environments.

Deployment & 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).

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Posted By

Bharathi Kalyanam

Talent Acquisition at Amazech Systems Pvt Ltd

Last Active: 1 Dec 2025

Job Views:
159

Applications: 148

Recruiter Actions: 0

Posted in

AI/ML

Functional Area

ML / DL Engineering

Job Code

1540823

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