Develop and maintain serverless API endpoints and backend services.

Build and maintain database models using SQLAlchemy and PostgreSQL.

Develop microservices supporting student dashboards, course progress tracking, and assessment systems.

Implement background task processing and RESTful APIs.

Work with WebSocket technologies for real-time communication.

Integrate LLMs, AI agents, and multi-agent workflows into applications.

Write clean and maintainable unit and integration tests using Pytest.

Debug and troubleshoot frontend, backend, and API-related issues.

Refactor and improve existing modules under senior developer guidance.

Participate in Docker-based deployment and cloud infrastructure management.

Assist with deployments using GCP/Cloud Run and Nginx.

Follow Git/GitHub version-control and collaborative development practices.

Required Qualifications

Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or a related field.

1–2 years of hands-on experience in web application development.

Strong knowledge of Python (FastAPI/Flask).

Proficiency in JavaScript/TypeScript and Node.js.

Good understanding of PostgreSQL/SQLite and relational databases.

Knowledge of RESTful API development.

Experience with Docker and Git/GitHub.

Understanding of unit and integration testing.

Strong debugging and problem-solving skills.

AI & Emerging Technology Skills

Familiarity with LLM APIs such as OpenAI, Anthropic, or Gemini.

Basic understanding of prompt engineering.

Knowledge of RAG and vector databases is an advantage.

Familiarity with LangChain, LangGraph, or LlamaIndex is highly desirable.

Exposure to AI agents, LLM orchestration, or multi-agent workflows is a plus.