CoreAi Consulting is seeking experienced Software Engineers to join their forward-looking engineering team focused on AI-augmented SDLC. In this role, you will utilize Generative AI tools across the entire software development lifecycle while maintaining high standards of quality, security, and maintainability.
Responsibilities:
- Implement AI-Augmented SDLC (Code Generation) for full-stack development
- Design, build, test, and maintain full-stack applications using AI assisted SDLC
- Generate clean, scalable, and maintainable code following best practices using AI assisted tools and agents
- Utilize GenAI tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate code generation, testing debugging, and documentation
- Define clear prompts, task specifications, and acceptance criteria to effectively guide AI tools and agents for code generation
- Take full ownership of all code changes, including AI-generated code, ensuring proper review, testing, and validation prior to production release
- Apply spec-driven development practices to structure and streamline implementation
- Design and develop AI agents, including workflows, tool integrations, and orchestration logic
- Review and validate AI-generated outputs for correctness, security, and performance
- Apply sound engineering judgment to accept, refine, or reject AI-generated solutions
- Develop and enhance unit, integration, and regression tests using AI-assisted tools
- Ensure sufficient test coverage before deployment
- Identify and address performance, reliability, and security issues early in the lifecycle
- Refactor and modernize existing applications using AI-assisted approaches to improve maintainability and performance
- Identify technical debt and drive remediation using AI-enabled strategies
- Participate in architecture discussions, design reviews, and code reviews
- Contribute to prompt engineering standards and AI development best practices
- Share knowledge and continuously improve AI-enabled engineering processes across the team