Python Full Stack Developer

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.