Full Stack Developer - Python

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, and 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.

Responsibilities:

• 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 of design, build, testing, and 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, and 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, and event-driven flows.
• Use Docker, CI/CD, and best DevOps practices.
• Ensure scalability, security, cost optimization, and reliability.

Collaboration and 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.

Requirements:

• Must-have skills: Python (FastAPI, Django REST Framework, Flask), ReactJS, cloud services (VM, storage, auth, functions, and deployments), microservices, serverless architecture, Docker, container orchestration (Kubernetes), API development and integration, Bitbucket or Git-based version control, and 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 (LangChain, LlamaIndex, Semantic Kernel).
• Generative AI (LLMs, RAG Framework, Vector DB, AI Chatbots, Agentic AI).
• Experience in API Testing Tools (Postman), CI/CD Pipelines, Advanced Cloud Networking and 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 and stakeholder management skills.
• Ownership mindset and willingness to handle multiple challenges at once.