PYTHON FULL STACK DEVELOPER

Key Responsibilities

Design, develop, and maintain scalable Python backend applications for enterprise use cases.

Develop robust REST APIs and microservices using Python frameworks such as FastAPI, Flask, or Django.

Design and implement scalable backend services with proper API integration, authentication, error handling, logging, and monitoring.

Develop responsive and scalable React.js frontend applications.

Implement React Hooks, state management, API integration, reusable components, and frontend development.

Integrate React.js applications with Python backend APIs and microservices.

Design and develop Generative AI and LLM-powered applications.

Build and integrate Agentic AI / AI Agent solutions for enterprise use cases.

Develop RAG (Retrieval-Augmented Generation) pipelines using enterprise data and knowledge sources.

Work with embeddings, vector databases, and vector search for semantic retrieval and knowledge-based applications.

Develop AI agent workflows using frameworks such as LangChain, LangGraph, Google ADK, or Semantic Kernel.

Implement tool calling and function calling to enable AI agents to interact with APIs, databases, enterprise systems, and external services.

Apply prompt engineering techniques to improve LLM response quality, accuracy, consistency, and reliability.

Integrate LLMs and GenAI capabilities into full-stack applications.

Develop multi-step AI workflows, agent orchestration, and intelligent automation solutions.

Design APIs and services for seamless integration between AI components, backend services, databases, and frontend applications.

Work with cloud platforms such as AWS, Azure, or GCP for application and AI solution deployment.

Develop production-ready applications with focus on scalability, performance, security, reliability, and maintainability.

Troubleshoot and optimize backend, frontend, API, RAG, LLM, and Agentic AI components.

Collaborate with architects, software engineers, AI/ML engineers, product teams, and business stakeholders.

Participate in code reviews, technical discussions, testing, deployment, and production support.

Mandatory Skills

Python Backend Development

REST API / Microservices

FastAPI / Flask / Django

React.js

React Hooks / State Management

Frontend Development & API Integration

GenAI / LLM

Agentic AI

RAG

Embeddings / Vector Search

LangChain / LangGraph / Google ADK / Semantic Kernel

Prompt Engineering

Tool Calling / Function Calling

Cloud – AWS / Azure / GCP

Preferred Candidate Profile

• 5+ years of overall software development experience.

Strong hands-on experience in Python backend development and API/microservices development.

Strong experience in React.js and full-stack application development.

Practical experience building GenAI/LLM applications.

Hands-on experience with Agentic AI and AI agent frameworks.

Good understanding of RAG, embeddings, vector search, and LLM-based application architecture.

Experience with LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent agent frameworks.

Strong understanding of prompt engineering and tool/function calling.

Experience integrating AI capabilities with APIs, databases, enterprise applications, and external systems.

Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.

Strong problem-solving, debugging, communication, and collaboration skills.

Candidates should be available for immediate / short-term joining.