- Hands-on Development
- Use AgentAI copilots and LLM tools for rapid coding, debugging, and documentation.
- Develop front-end and back-end components with seamless integration.
- Integrate pre-built AI services and APIs into applications implement RAG-based features where relevant.
- Quality & Speed
- Combine AI-assisted productivity with engineering best practices to deliver robust, scalable solutions.
- Collaboration
- Work closely with architects and AI-native specialists to ensure seamless integration and adoption.
- Solid foundation in enterprise engineering, SDLC, and domain workflows.
- Experience using AI-assisted development tools (copilots, LLM-based coding assistants).
- Practical knowledge of AI concepts and limitations focus on integration, not model training.
- Ability to accelerate delivery without compromising quality.
- Programming & Full-Stack Skills