- Implement and manage cloud-based solutions for data storage, networking, and computation using AWS services like EC2, Lambda, S3, RDS, and DynamoDB.

- Develop and integrate Generative AI models (e.g., GPT, BERT, GANs) into applications to enhance functionalities such as natural language understanding, content generation, and data processing.

- Collaborate with data scientists and AI specialists to implement machine learning algorithms and improve model accuracy.

- Collaborate with cross-functional teams to define software requirements and design user-centric solutions.

- Implement a full CI/CD pipeline for automated testing, building, and deployment of applications.

Qualifications :

- 3+ years of experience in full stack development.

- Front-End Development : Proficiency in React.js and modern JavaScript tools/libraries (e.g., Redux, React Router). Strong understanding of front-end best practices, UI/UX principles, and responsive design.

- Back-End Development : Experience in building and maintaining RESTful APIs and microservices.

- Cloud Technologies : Hands-on experience with AWS services such as EC2, S3, RDS, Lambda, and DynamoDB. Familiarity with deploying and scaling applications on the cloud.

- Generative AI Exposure : Familiarity with generative AI technologies. Practical experience is a plus.

- Database Management : Proficiency in working with both SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, DynamoDB).

- Version Control : Strong experience with Git for source control, including branching and merging strategies.

- Testing & Quality Assurance : Experience with unit testing frameworks (JUnit, Mocha, etc.) and test-driven development (TDD).

- DevOps : Familiarity with continuous integration/continuous deployment (CI/CD) tools, Docker, and container orchestration (Kubernetes) is a plus.