AI Engineer – AWS

Durapid Technologies Pvt Ltd; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Durapid Technologies Pvt Ltd in India is seeking an AI Engineer with strong AWS expertise to design and develop scalable AI-powered applications and cloud-native solutions. The role focuses on hands-on work with Python, LLMs, Generative AI, RAG, Agentic AI, and AWS AI services, building APIs with FastAPI/Flask and deploying secure, production-ready cloud systems.

You will collaborate with Data Scientists and Software Engineers, implement CI/CD, Docker, and modern cloud deployment practices, and

Qualifications

• 3+ years of experience in AI/Software Engineering.
• Strong Python and AWS experience.
• Hands-on experience with Generative AI, LLMs, RAG, and Agentic AI.
• Experience with Amazon Bedrock.
• Experience developing APIs using FastAPI/Flask.
• Knowledge of LangChain/LangGraph/LlamaIndex.
• Docker and CI/CD experience.

Responsibilities

• Develop and deploy AI/LLM-powered applications on AWS.
• Build RAG and Agentic AI solutions using enterprise data and knowledge bases.
• Develop APIs and AI services using Python/FastAPI.
• Work with Amazon Bedrock, SageMaker, and other AWS AI services.
• Integrate LLMs and frameworks such as LangChain, LangGraph, and LlamaIndex.
• Build scalable, secure, and production-ready cloud applications.
• Implement CI/CD, Docker, and cloud deployment best practices.
• Collaborate with Data Scientists, Software Engineers, and business stakeholders.

Skills

Python

AWS

Generative AI/LLMs

RAG

Agentic AI

FastAPI

Flask

Docker

CI/CD

LangChain

LangGraph

LlamaIndex

Tools

Amazon Bedrock

SageMaker

Job description

Job Summary

We are looking for an AI Engineer with strong AWS expertise to design and develop scalable AI-powered applications and cloud-native solutions. The ideal candidate should have hands‑on experience with Python, LLMs, Generative AI, RAG, Agentic AI, and AWS AI services.

Key Responsibilities

• Develop and deploy AI/LLM-powered applications on AWS.
• Build RAG and Agentic AI solutions using enterprise data and knowledge bases.
• Develop APIs and AI services using Python/FastAPI.
• Work with Amazon Bedrock, SageMaker, and other AWS AI services.
• Integrate LLMs and frameworks such as LangChain, LangGraph, and LlamaIndex.
• Build scalable, secure, and production-ready cloud applications.
• Implement CI/CD, Docker, and cloud deployment best practices.
• Collaborate with Data Scientists, Software Engineers, and business stakeholders.

Mandatory Skills

• 3+ years of experience in AI/Software Engineering.
• Strong Python and AWS experience.
• Hands‑on experience with Generative AI, LLMs, RAG, and Agentic AI.
• Experience with Amazon Bedrock.
• Experience developing APIs using FastAPI/Flask.
• Knowledge of LangChain/LangGraph/LlamaIndex.
• Docker and CI/CD experience.
• Strong problem‑solving and communication skills.

Primary Skills

AWS | Python | Generative AI/LLMs | Amazon Bedrock | RAG & Agentic AI