Back End Developer

E Solutions; Dadri; On-site; INR 900,000 - 1,500,000; Full time

Job summary

E Solutions is seeking a skilled Backend Developer in India to build scalable backend systems using Python, Django, and DRF. You will design robust REST APIs, work with microservices, and integrate AI/LLM features into ATS and related products.

Candidates should have 3-4 years of backend experience, strong PostgreSQL skills, and hands-on Docker deployment. Knowledge of AI platforms like OpenAI or Azure OpenAI is a plus.

Qualifications

• 3-4 years of backend development experience.
• Strong Python, Django, and Django REST Framework proficiency.
• Experience designing REST APIs and microservices.

Responsibilities

• Develop and maintain scalable backend applications using Python, Django, and DRF.
• Design robust REST APIs and backend services.
• Work with microservices architecture and distributed systems.
• Build and integrate AI/LLM-powered features into applications.
• Improve performance of databases and backend systems.

Skills

Python

Django

Django REST Framework

REST APIs

Microservices

PostgreSQL

Docker

AI/LLM integration

OpenAI/Azure OpenAI

Embeddings/RAG

Tools

Docker

Job description

We are looking for a skilled Backend Developer with strong expertise in Python and Django and hands-on experience in integrating AI/LLM-based solutions into web applications.

Key Responsibilities

Develop and maintain scalable backend applications using Python, Django, and Django REST Framework.

Design and develop robust REST APIs and backend services.

Work with microservices architecture and distributed systems.

Build and integrate AI/LLM-powered features into applications.

Work on AI-based functionalities such as intelligent matching, automation, search, and recommendations, particularly for ATS-related use cases.

Optimize databases and backend performance.

Required Skills

3-4 years of experience in backend development.

Strong proficiency in Python, Django, and Django REST Framework.

Experience with REST APIs and microservices architecture.

Strong knowledge of PostgreSQL and database optimization.

Experience with Docker and deployment practices.

Hands-on experience integrating AI/LLM APIs and services into applications.

Familiarity with technologies such as OpenAI, Azure OpenAI, Gemini, Claude, or similar AI platforms.

Understanding of concepts such as embeddings, RAG, vector databases, and AI-powered search is preferred.

Ability to write clean, scalable, and maintainable code.

The ideal candidate should have a strong backend engineering foundation and the ability to contribute to the development and integration of AI-powered features within our ATS and other products.