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

- 8.5+ 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.
- Solid problem-solving, debugging, communication, and collaboration skills.
- Candidates should be available for immediate / short-term joining.

Skills:- Python, Generative AI, Agentic AI, React.js, Prompt engineering, Tool Calling , AWS / Azure / GCP ,, REST API / Microservices ,, GenAI / LLM ,, RAG ,, LangChain / LangGraph and FastAPI / Flask / Django ,

📌 PYTHON FULL STACK DEVELOPER (Hyderabad)
🏢 VY SYSTEMS PRIVATE
📍 Hyderabad