Full Stack Development Manager

Manager-Full Stack

Description

Key Responsibilities:

• Design and Development: Develop and maintain full stack web applications using Java for backend services and Angular for frontend interfaces. Design and implement state-of-the-art generative AI models.

• Backend Development: Build and optimize server-side logic, API and microservices using Java, Spring Boot and related frameworks.

• Frontend Development: Create responsive, interactive and intuitive user interfaces using Angular, TypeScript, HTML and CSS.

• Database Integration: Design and implement database schemas, queries and integrations using relational databases (e.g., PostgreSQL)

• API Development: Develop and integrate RESTful APIs to ensure seamless communication between frontend and backend systems.

• Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices and coding standards.

• Collaboration: Collaborate with cross-functional teams to define project goals, research requirements and deliver innovative solutions.

• Testing and Debugging: Perform unit testing, integration testing, and debugging to ensure high-quality deliverables.

• Deployment and Maintenance: Participate in the deployment of applications using CI/CD pipelines and maintain applications in production environments.

• Performance Optimization: Identify and resolve performance bottlenecks in both frontend and backend components.

• Agile Development: Contribute to agile ceremonies, including sprint planning, standups and retrospectives.

• Optimize solutions through thorough research, experimentation, and advanced problem-solving techniques.

• Stay abreast of the latest advancements in generative AI, deep learning, and related fields, incorporating new techniques into the team's workflow.

• Communicate complex concepts and results effectively to both technical and non-technical stakeholders.

Skills Required

• Design, development, and deployment of LLM-based applications. • Proficient coding skills in Python and SQL. • Thorough understanding of prompt engineering, including refining and optimizing prompts to enhance the outcomes of Large Language Models (LLMs). • Experience on cloud platforms (preferably AWS) • Familiarity with containerization tools like Docker or Kubernetes. • Knowledge of other frontend frameworks (e.g., React or Vue.js). • Exposure to microservices architecture and event-driven systems.

Education/Qualification

Graduation/PG

Desirable Skills

None