Python Developer (Moodle & AI)

Chandigarh University; Mohali; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Chandigarh University in Mohali, Punjab seeks a Python Developer specialized in Moodle and AI to build backend services and REST APIs with PostgreSQL, MySQL and Redis. You will integrate LLMs via Ollama/vLLM/Hugging Face and construct RAG pipelines using Qdrant, pgvector, Milvus or Weaviate.

Moodle CMS integration through Web Services and plugins will be core, with Linux/Docker/AWS deployments. You will also develop Moodle plugins, follow Moodle APIs and plugin lifecycle, and provide production

Qualifications

• Strong hands-on Python and practical LLM/RAG experience.
• Hands-on PHP development and Moodle plugin development experience, with working knowledge of Moodle architecture, APIs and database structure.
• Deployment on Linux, Docker or the cloud (AWS preferred).

Responsibilities

• Develop backend services and REST APIs in Python (FastAPI/Flask/Django) with PostgreSQL, MySQL and Redis.
• Integrate open-source and API-based LLMs (Llama, Qwen, Mistral, Gemma) using Ollama, vLLM or Hugging Face.
• Build RAG pipelines covering ingestion, chunking, embeddings and retrieval, using Qdrant, pgvector, Milvus or Weaviate.
• Integrate AI services with Moodle/CULMS through Web Services, plugins and authentication, and support upgrades and compatibility testing.
• Develop PHP-based Moodle plugins (local, block, activity and question types) following Moodle coding standards, APIs and the plugin lifecycle.
• Deploy on Linux, Docker, AWS or on-premise servers, using Git and CI/CD, and provide production support and troubleshooting.

Skills

Python

LLM/RAG

PHP development

Moodle plugin development

Education

B.Tech/M.Tech/MCA/M.Sc. in CS/IT/AI/Data Science

Tools

Linux

Docker

AWS

PostgreSQL

MySQL

Redis

Job description

Position: Python Developer-Moodle & AI

Location: Mohali, Punjab

Job Responsibilities

• Develop backend services and REST APIs in Python (FastAPI/Flask/Django) with PostgreSQL, MySQL and Redis.
• Integrate open-source and API-based LLMs (Llama, Qwen, Mistral, Gemma) using Ollama, vLLM or Hugging Face.
• Build RAG pipelines covering ingestion, chunking, embeddings and retrieval, using Qdrant, pgvector, Milvus or Weaviate.
• Integrate AI services with Moodle/CULMS through Web Services, plugins and authentication, and support upgrades and compatibility testing.
• Develop PHP-based Moodle plugins (local, block, activity and question types) following Moodle coding standards, APIs and the plugin lifecycle.
• Deploy on Linux, Docker, AWS or on-premise servers, using Git and CI/CD, and provide production support and troubleshooting.

Qualifications

• B.Tech, M.Tech, MCA or M.Sc. in CS, IT, AI, Data Science or a related field.
• Strong hands-on Python and practical LLM/RAG experience.
• Hands-on PHP development and Moodle plugin development experience, with working knowledge of Moodle architecture, APIs and database structure.
• J eployment experience on Linux, Docker or the cloud (AWS preferred).