AI Engineer with React.Js

PwC; Hyderabad, Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

PwC is seeking an experienced AI-focused software developer in Hyderabad to design and build scalable back-end Python APIs with FastAPI and compelling React front-ends. You will implement AI models, including LLMs and RAG frameworks, and work on generative AI use cases.

Collaboration with cross-functional teams will be essential to deliver robust AI solutions. The role demands 4–7 years in software development with recent AI experience, and strong proficiency in Python and React.

Qualifications

• 4-7 years of software development experience with AI focus or related with strong recent experience of 2+ years.
• Strong Python and React skills.
• Practical experience with LLMs, RAG pipelines.

Responsibilities

• Develop and maintain Python backend APIs with FastAPI
• Build user-friendly React frontend components
• Implement and optimize AI models including LLMs and RAG frameworks
• Work on generative AI use cases
• Collaborate with cross-functional teams to deliver scalable AI solutions

Skills

Python

React

LLMs

RAG

Generative AI

Cloud deployment

Docker/Kubernetes

Tools

FastAPI

Docker

Kubernetes

Job description

Skills Required:

• Strong Python backend development (FastAPI preferred)


• Good React frontend experience


• Hands-on with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG)


• Experience with Generative AI technologies


• Cloud deployment (AWS/GCP/Azure)


• Docker/Kubernetes

Responsibilities:

• Develop and maintain Python backend APIs with FastAPI


• Build user-friendly React frontend components


• Implement and optimize AI models including LLMs and RAG frameworks


• Work on generative AI use cases


• Collaborate with cross-functional teams to deliver scalable AI solutions

Must Have:

• 4-7 years of software development experience with AI focus or related with strong recent experience of 2+ years


• Strong Python and React skills


• Practical experience with LLMs, RAG pipelines