Job Title

**Must have 10 years with python full stack and gen AI***Must have 10 years with python full stack and gen AI***Must have 10 years with python full stack and gen AI**If you dosen't fall under given JD please do not apply**Position: Python Fullstack Developer with Generative AI ExperienceOverview:We are seeking a Python Fullstack Developer with strong expertise in Generative AI (GenAI) and modern web development using ReactJS. This role involves designing and developing intelligent, scalable web applications that integrate advanced AI capabilities. The ideal candidate should be proficient in Python-based backend systems and ReactJS for the frontend, with a strong understanding of GenAI frameworks, tools, and APIs.Key Responsibilities:Design and develop robust RESTful and GraphQL APIs using Python.Build dynamic, responsive UIs with ReactJS, leveraging TypeScript, modern JavaScript (ES6+), HTML5, and CSS3.Utilize React Hooks (e.g., useState, useEffect, useContext) and state management tools like Redux and Context API.Build intelligent features using GenAI tools (e.g., OpenAI, Hugging Face Transformers, LangChain) integrated into web applications.Implement LLM-based services in backend workflows using frameworks such as FastAPI, Flask, or Django.Manage data with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.Secure applications using authentication/authorization protocols like JWT, OAuth 2.0, and RBAC.Develop and maintain CI/CD pipelines using GitLab CI, Jenkins, and Docker.Deploy scalable, containerized apps with Kubernetes; provision infrastructure with Terraform or Ansible.Write and maintain comprehensive test suites: unit testing with pytest, unittest, and frontend testing using Jest, React Testing Library, and Cypress.Use performance optimization techniques: lazy loading, code splitting, caching, etc.Monitor and analyze application performance using Prometheus, Grafana, and Sentry.Collaborate in an Agile environment (Scrum/Kanban) with product managers, data scientists, and DevOps.Required Skills:Proficiency in backend frameworks (FastAPI, Django, Flask).Solid experience with ReactJS and modern frontend tooling.Experience building and integrating GenAI-based services using APIs or open-source libraries.Strong knowledge of containerization (Docker) and orchestration (Kubernetes).Familiarity with microservices architecture and event-driven systems.Excellent debugging, testing, and problem-solving abilities.Preferred Qualifications:Hands-on experience with GenAI tools like OpenAI API, LangChain, LlamaIndex, or similar.Experience deploying AI models in production using cloud platforms (AWS, GCP, or Azure).Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) and embeddings-based search.Strong interest in AI/ML trends and the ability to apply LLMs to real-world applications.