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)