Posted 7 months ago
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Responsibilities
Job Summary:
We are looking for a skilled Backend Developer (AI Integration) with strong expertise in Python and Django to join our engineering team. The ideal candidate should have hands-on experience building scalable backend systems using Django and Django REST Framework (DRF), along with practical experience integrating AI/LLM services such as OpenAI, Gemini, or Ollama into production applications. This role focuses entirely on backend architecture, API development, AI integration, and system performance optimization.
🔑 Key Responsibilities:
- Design, develop, and maintain scalable backend systems using Python and Django.
- Build secure and high-performance REST APIs using Django REST Framework (DRF).
- Integrate AI/LLM APIs (OpenAI, Gemini, Ollama) into backend services.
- Implement and manage Retrieval-Augmented Generation (RAG) workflows.
- Work with vector databases for contextual AI responses.
- Optimize PostgreSQL queries, indexing, and database performance.
- Implement authentication & authorization mechanisms (JWT, role-based access).
- Manage caching using Redis and background tasks using Celery.
- Ensure secure API key handling and backend security best practices.
✅ Required Skills & Qualifications:
- 3-4 years of experience in Python backend development.
- Strong hands-on experience with Django.
- Experience with Django REST Framework (DRF).
- Solid understanding of Django MVT architecture.
- Strong knowledge of PostgreSQL (query optimization, indexing).
- Experience integrating LLM APIs (OpenAI / Gemini / Ollama).
- Understanding of RAG architecture and vector database concepts.
- Experience with Redis and Celery.
- Familiarity with Docker and deployment best practices.
- Strong debugging, analytical, and problem-solving skills.
Preferred Skills:
- Experience working on AI-powered applications or chat systems.
- Experience handling streaming responses from LLM APIs.
- Knowledge of scalable system design and performance tuning.
- Familiarity with cloud platforms (AWS / Azure / GCP).
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