Posted on: 19/02/2026
Description :
Role Overview :
We are looking for a highly skilled Backend + AI Engineer who can design and build scalable backend systems integrated with modern AI capabilities. The ideal candidate will have strong expertise in Python, Django, and hands-on experience with LLMs, Prompt Engineering, LangChain, LangGraph, and Agentic AI systems. You will be responsible for building production-grade AI-powered applications, integrating LLM workflows into backend services, and optimizing model performance for real-world use cases.
Key Responsibilities :
- Design and develop scalable backend services using Python and Django.
- Build and maintain RESTful APIs to serve AI-driven applications.
- Develop AI-powered workflows using LangChain and LangGraph.
- Implement Prompt Engineering techniques for optimized LLM outputs.
- Design and deploy Agentic AI systems (multi-step reasoning, tool usage, memory handling).
- Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases.
- Fine-tune LLMs for domain-specific use cases.
- Integrate LLM APIs (OpenAI, Anthropic, open-source models) into backend systems.
- Optimize application performance, scalability, and reliability.
- Collaborate with product, data, and frontend teams to deliver AI-driven features.
- Ensure security, authentication, logging, and monitoring best practices.
Mandatory Skills :
- 36 years of experience in backend development.
- Strong proficiency in Python.
- Hands-on experience with Django (mandatory).
- Experience working with LLMs and Prompt Engineering.
- Strong working knowledge of LangChain and LangGraph.
- Experience building Agentic AI systems.
- Experience with fine-tuning LLMs.
- Strong understanding of API design and database management (PostgreSQL/MySQL).
- Familiarity with vector databases (Pinecone, FAISS, Weaviate, etc.).
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Posted in
Backend Development
Functional Area
ML / DL / AI Research
Job Code
1614029