Python Fullstack AI Engineer-Job code-L-A-EGDCA

Bounteous; Bengaluru, Delhi, Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Bounteous is seeking a Python Fullstack AI Engineer in Bengaluru, India to design and build AI-powered web applications. You will work across frontend React and backend Python stacks, leveraging FastAPI, Flask or Django, and implement API-driven microservices.

The role requires 5+ years in software engineering, strong Generative AI experience, cloud familiarity, and the ability to lead and mentor stakeholders. Collaboration with product and data teams is essential.

Qualifications

• 5+ years of software engineering with Python.
• Strong hands-on experience in Generative AI and LLM technologies.
• Experience in React development.
• Experience with FastAPI, Flask, or Django.
• Strong understanding of API development and microservices architecture.
• Familiarity with LangChain or LlamaIndex.
• Experience with AWS, Azure, or GCP.
• Understanding of CI/CD pipelines, DevOps practices, and automation.
• Strong leadership, mentoring, and stakeholder management skills.

Skills

Python

Generative AI

React

Backend frameworks

API design

LangChain / LlamaIndex

Cloud platforms

CI/CD / DevOps

Leadership

Microservices

Tools

Docker

Kubernetes

Job description

Warm Greetings from BounteousxAccolite

We are currently looking for Python Fullstack AI Engineer role with the below expectations

Required Skills & Experience:

1. 5+ years of experience in software engineering with strong expertise in Python
2. Strong hands-on experience in Generative AI and LLM technologies
3. Experience in React development
4. Experience with backend frameworks such as FastAPI, Flask, or Django
5. Strong understanding of API development and microservices architecture
6. Familiarity with AI orchestration frameworks such as LangChain or LlamaIndex
7. Experience with cloud platforms such as AWS, Azure, or GCP
8. Understanding of CI/CD pipelines, DevOps practices, and automation
9. Strong leadership, mentoring, and stakeholder management skills

Preferred Skills:

• Experience with vector databases and RAG architectures
• Exposure to MLOps and AI observability tools
• Experience with Docker, Kubernetes, and cloud-native deployments