Develop and maintain scalable back-end services using Django and Django REST Framework (DRF).
Implement authentication, authorization, and secure APIs.
Optimize performance, scalability, and database queries (PostgreSQL/MySQL).
Generative AI Integration:
Build and integrate applications using LLMs (OpenAI, Anthropic, Llama, etc.).
Implement
RAG (Retrieval-Augmented Generation)
pipelines with vector databases (Pinecone, Weaviate, FAISS, Milvus).
Fine-tune or adapt pre-trained models for domain-specific use cases.
Work on
prompt engineering
, embeddings, and model optimization.
AI-Powered Applications:
Develop chatbots, summarization tools, and content generation modules.
Integrate GenAI into existing enterprise workflows and SaaS products.
Leverage frameworks like
LangChain, LlamaIndex, or Haystack
for orchestration.
DevOps & Deployment:
Deploy Django apps and AI services on AWS/GCP/Azure or Docker/Kubernetes.
Implement CI/CD pipelines for rapid delivery.
Monitor system performance and optimize cloud costs.
Required Skills
Strong proficiency in
Python, Django, Django REST Framework
.
Hands-on experience with
Generative AI / LLMs (OpenAI, HuggingFace, LangChain, LlamaIndex, RAG pipelines)
.
Experience with
vector databases
(Pinecone, Weaviate, FAISS, Milvus).
Knowledge of
APIs, microservices architecture, and system design
.
Strong understanding of
SQL/NoSQL databases
(PostgreSQL, MongoDB, Redis).
Familiarity with
cloud platforms (AWS/GCP/Azure)
and
Docker/Kubernetes
.
Excellent problem-solving and debugging skills.
Job Type: Full-time
Pay: ₹180,000.00 - ₹200,000.00 per year
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