Job Description Python Full Stack Engineer (React JS & GenAI)

Job Title: Python Full Stack Engineer (React JS & Generative AI)

Experience: 4-8 Years
Location: Bangalore / Pune/ Kolkata/ Hyderabad/ Chennai
Employment Type: Full-Time

Job Summary

We are seeking a highly skilled Python Full Stack Engineer with strong expertise in Python, React JS, and Generative AI technologies. The ideal candidate will be responsible for building scalable web applications, developing intelligent AI-powered solutions, designing robust APIs, and collaborating with cross-functional teams to deliver innovative products. The candidate should possess hands-on experience in both backend and frontend development, along with exposure to LLMs, AI frameworks, and cloud platforms.

Key Responsibilities

- Develop and maintain full-stack web applications using Python (Django, Flask, FastAPI) and React JS.
- Design, develop, and optimize RESTful APIs and microservices.
- Build responsive, scalable, and user-friendly UI components using React JS.
- Integrate frontend applications with backend services and third-party APIs.
- Develop and implement Generative AI solutions using Large Language Models (LLMs).
- Design and implement RAG (Retrieval-Augmented Generation) solutions.
- Build AI-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
- Integrate AI models from OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent platforms.




- Perform prompt engineering, model evaluation, and optimization for AI applications.
- Write clean, scalable, maintainable, and well-documented code.
- Participate in code reviews, testing, debugging, and production support.
- Collaborate with product managers, architects, designers, and development teams to deliver high-quality solutions.

Required Skills

- Solid experience in Python (Django, Flask, FastAPI).
- Proficiency in React JS, JavaScript (ES6+), HTML5, CSS3.
- Experience with REST APIs and microservices architecture.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
- Knowledge of Prompt Engineering, RAG, Vector Databases, and AI application development.
- Experience with databases such as PostgreSQL, MySQL, MongoDB.
- Familiarity with Git and version control systems.
- Understanding of cloud platforms such as Azure, AWS, or GCP.

Preferred Qualifications

- Experience with Azure OpenAI Services and AI/ML workloads on Azure.
- Hands-on experience with Docker and Kubernetes.
- Knowledge of CI/CD pipelines and DevOps practices.
- Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, or Azure AI Search.
- Familiarity with Agile/Scrum methodologies.
- Exposure to monitoring and observability tools.

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