Python Full Stack Developer

5 - 10 years

6 - 10 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

The ideal candidate can handle multiple challenges independently, think smartly, and build scalable end-to-end applications while also owning architecture and deployment
Must Have Skills Python (Fast API, Django REST Framework, Flask) React JS Cloud Services (VM, Storage, Auth and Auth, Functions and Deployments) Microservices , Serverless Architecture Docker, Container orchestration (Kubernetes) API Development & Integration Bitbucket or Git-based version control Agile/Kanban working model Familiarity with AI-powered coding assistants such as GitHub Copilot, Cursor AI, or Lovable AI Basic understanding of Generative AI concepts and prompt engineering Good to Have Skills Experience with AI orchestration tools (Lang Chain, Llama Index, Semantic Kernel) Generative AI (LLMs, RAG Framework, Vector DB, AI Chatbots, Agentic AI) API Testing Tools (Postman) CI/CD Pipelines Advanced Cloud Networking & Security Automation Testing (Playwright, Selenium) Preferred Personal Attributes Highly proactive and self-driven Smart problem solver with strong analytical ability Ability to work independently in ambiguous and complex scenarios Strong communication & stakeholder management skills Ownership mindset and willingness to handle multiple challenges at onceKey ResponsibilitiesFull Stack Development Build and maintain production-grade applications using Python (FastAPI/Django/Flask) and React / Next js Develop reusable frontend components and optimized backend services/microservices Ensure clean architecture, maintainability, and code quality Own development across the lifecycle design, build, testing, deployment Develop AI-driven applications using LLMs (OpenAI, LLaMA, Claude, Gemini, etc) Build and optimize RAG pipelines, vector searches, embeddings, and agent workflows Integrate vector databases: Pinecone, FAISS, Chroma, MongoDB Atlas Vector Search Build AI chatbots, automation agents, and intelligent Assistants Apply prompt engineering, fine-tuning, and model evaluation best practices Deploy, manage, and monitor cloud workloads on AWS/Azure/GCP Design and implement serverless architectures, microservices, event-driven flows Use Docker, CI/CD, and best DevOps practices Ensure scalability, security, cost optimization, and reliability Collaboration & Leadership Comfortably handle ambiguity, break down problems, and deliver with ownership Lead technical initiatives and mentor junior team members Work closely with cross-functional teams in Agile/Kanban environments

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