Job Description

ID: 371 | 4-6 yrs | Jaipur | careers
Job Summary



We are seeking a mature, proactive, and highly capable Senior Full Stack Engineer with over 5 years of experience in Python, React, Cloud Services, and Generative AI (LLM, RAG, Agentic AI). 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 once


Key Responsibilities



Full 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.