AI Full Stack Developer/Gen AI Developer

Indium; Hyderabad; Hybrid; INR 2,000,000 - 3,600,000; Full time

Job summary

Indium is hiring for a hybrid role in Chennai, Bengaluru, or Hyderabad to design and build scalable web applications using React, Python, and AWS. The candidate will work on GenAI integrations, AI workflows, and cloud-native deployments on GCP.

You'll collaborate with cross-functional teams, implement APIs and data pipelines, and contribute to AI-driven product features while ensuring performance and security. The role emphasizes modern tech stacks and scalable architectures.

Qualifications

• Must have skills: Python, React, AWS, SQL, REST API.
• Experience with React 19 and TypeScript is desirable.
• Proficiency in Python 3.11 and FastAPI for building scalable APIs.
• Knowledge of AI-related features and cloud-native development is a plus.

Responsibilities

• Design and develop scalable web applications using React, TypeScript, Python, and FastAPI.
• Build and integrate GenAI solutions including LLM integrations and AI workflows.
• Develop cloud-native applications on Google Cloud Platform (GCP) with services like BigQuery and Cloud Run.
• Collaborate with cross-functional teams to implement APIs, data pipelines, and enterprise integrations.
• Support deployment and operations using Docker, monitoring, and continuous improvement of AI and cloud-based solutions.

Skills

Python

React

AWS

SQL

REST API

React 19

TypeScript

Python 3.11

FastAPI

Tools

Docker

GCP

BigQuery

Cloud Run

Cloud Storage

Firestore

Job description

Chennai, Bengaluru and Hyderabad - Hybrid

Shift - 2 to 11 PM

Must have skills: Python, React, AWS, SQL, Rest API

Design and develop scalable web applications using React 19, TypeScript, Python 3.11, and Fast API, ensuring high performance, security, and maintainability.

Build and integrate GenAI solutions, including LLM integrations, RAG pipelines, AI Agents, and Agentic AI workflows to support intelligent business processes.

Develop and optimize cloud-native applications on Google Cloud Platform (GCP) leveraging Big Query, Cloud Run, Cloud Storage (GCS), and Firestore.

Collaborate with cross-functional teams to implement AI-driven features, APIs, data pipelines, and enterprise integrations while following coding and architecture best practices.

Support application deployment and operations using Docker containerization, monitoring, troubleshooting, and continuous improvement of AI and cloud-based solutions.