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- *Broad outline of the Role**
This role is responsible for the end\-to\-end development of software applications, including design, coding, testing, debugging, and implementation of applications with a focus on operational excellence, tactical execution, and collaboration with cross\-functional teams. The role ensures the delivery of high\-quality, innovative software solutions that align with business objectives. The role encourages the use of AI tools and methodologies to enhance productivity and support current workflows, with an emphasis on responsible experimentation and upskilling.
- *Minimum Qualifications \& Experience**
Graduation in Computer Science and Engineering or a related field; 4\-7 years relevant experience.
- *Other Knowledge \& Skills**
- Agile Software Development
- Java, Python
- Spring Boot
- UI or UX Designing
- API Integration
- Automation Testing
- Cloud Computing
- Microservices
- AI\-DevOps
- Exposure to AI and Machine Learning Tools (for supportive tasks, not as a core requirement)
- Prompt Engineering
- Generative AI
- AI Analysis
AI Application Development
- Participate in design discussions and planning meetings to optimize development strategies, including the use of AI\-powered coding assistants where practical.
- Develop and implement applications using programming languages (e. g. , Java, Python), with the option to leverage AI\-powered code suggestion tools to improve efficiency and reduce errors.
- Utilize AI\-driven platforms for supportive tasks such as code review, documentation drafting, and basic test case generation
- Translate designs into high\-quality code throughout the AI\-assisted SDLC
- Define and refine infrastructure and deployment requirements, using available analytics tools to support resource allocation decisions.
- Build and maintain tools for automated testing, deployment, monitoring, and analysis, integrating AI\-based solutions where feasible to support continuous improvement.
- Integrate software components and third\-party programs, including those with AI enhancements, to improve functionality and interoperability.
- Conduct testing, troubleshooting, debugging, and upgrading of software, using AI\-augmented tools for supportive analysis and reporting.
- Create and maintain technical documentation, use AI tools for initial drafts or summaries, .
- Collaborate with Product Owners and teams to leverage AI tools for efficient story grooming, backlog maintenance, and sprint planning, .