Python + React Full Stack Developer – Agentic AI / LLM Exp | Any UST Location | Immediate Joiner

UST; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

UST in Bengaluru seeks a hands-on Python + React Full Stack Developer to independently build full‑stack applications and deliver production-grade Agentic AI / LLM solutions.

You will design REST APIs and microservices, integrate LLMs, and deploy scalable AI-powered applications with RAG pipelines and vector databases. Strong collaboration with AI/ML, product, and architecture teams is essential.

Qualifications

• Must have hands-on experience in full stack development using Python and React.
• Experience building Agentic AI / LLM-based applications with production-grade quality.
• Strong understanding of REST APIs, microservices, and integration with enterprise systems.
• Experience with RAG and vector databases for enterprise data access.
• Proficiency in prompt engineering and tool usage within AI workflows.

Responsibilities

• Design and develop scalable backend applications using Python.
• Develop responsive frontend applications using React JS.
• Build REST APIs and microservices using FastAPI, Flask, or Django.
• Design and develop Agentic AI and LLM-based applications.
• Build AI agents capable of reasoning, tool usage, API interaction, and multi-step workflows.
• Integrate LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or similar models.
• Develop RAG solutions using enterprise data and vector databases.
• Integrate AI applications with APIs, databases, and enterprise systems.
• Write clean, reusable, maintainable, and production-quality code.
• Perform unit testing, debugging, performance optimization, and production support.
• Collaborate with frontend, backend, AI/ML, product, and architecture teams.

Skills

React JS Frontend

Agentic AI / LLM / Generative AI

RAG (Retrieval-Augmented Generation)

Prompt Engineering

AI Agents and multi-step AI workflows

SQL / NoSQL databases

Tools

Python

FastAPI

Flask

Django

React JS

LangChain

LangGraph

CrewAI

AutoGen

Docker

Kubernetes

Job description

Must-Have Skills

• React JS Frontend Development – Primary
• Agentic AI / LLM / Generative AI – Mandatory
• FastAPI / Flask / Django
• REST APIs and Microservices
• RAG (Retrieval-Augmented Generation)
• Prompt Engineering
• LLM API Integration
• AI Agents and multi-step AI workflows
• Vector Databases / Vector Search
• SQL / NoSQL databases

Key Responsibilities

• Design and develop scalable backend applications using Python.
• Develop responsive frontend applications using React JS.
• Build REST APIs and microservices using FastAPI, Flask, or Django.
• Design and develop Agentic AI and LLM-based applications.
• Build AI agents capable of reasoning, tool usage, API interaction, and multi-step workflows.
• Integrate LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, or similar models.
• Develop RAG solutions using enterprise data and vector databases.
• Integrate AI applications with APIs, databases, and enterprise systems.
• Write clean, reusable, maintainable, and production-quality code.
• Perform unit testing, debugging, performance optimization, and production support.
• Collaborate with frontend, backend, AI/ML, product, and architecture teams.

Preferred AI Skills

• LangChain
• LangGraph
• CrewAI
• AutoGen

Good-to-Have

• Docker and Kubernetes
• CI/CD
• Authentication and authorization
• Production deployment of AI/LLM applications

Skill Priority

• React JS Frontend – Strong Hands-on
• Agentic AI / LLM – Strong Hands-on / Mandatory

The candidate should be a hands‑on Python + React Full Stack Developer capable of independently developing full‑stack applications and implementing production‑grade Agentic AI / LLM solutions.