Backend Developer - Python

Key Responsibilities : 1. Web Development : - Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. - Build and deploy modern web applications that are performant, modular, and secure. - Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. - Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. - Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. 2. GenAI Application Development : - Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows. - Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. - Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc. 3. Database and Backend Integration : - Work with relational databases like PostgreSQL and MySQL. - Write efficient and scalable queries for large-scale datasets. - Experience with AWS/GCP/Azure is a plus. Requirements : Required Skills : - Minimum of 3 to 4 years of experience application development using Python/django. - Proficient in developing and consuming RESTful API. - Experience with LangGraph, LangChain, and GenAI tools/workflows. - Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.). - Good understanding of software design principles, code modularity, and version control (Git). Key Responsibilities : 1. Web Development : - Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. - Build and deploy modern web applications that are performant, modular, and secure. - Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. - Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. - Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. 2. GenAI Application Development : - Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows. - Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. - Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc. 3. Database and Backend Integration : - Work with relational databases like PostgreSQL and MySQL. - Write efficient and scalable queries for large-scale datasets. - Experience with AWS/GCP/Azure is a plus. Requirements : Required Skills : - Minimum of 3 to 4 years of experience application development using Python/django. - Proficient in developing and consuming RESTful API. - Experience with LangGraph, LangChain, and GenAI tools/workflows. - Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.). - Good understanding of software design principles, code modularity, and version control (Git).