AI Engineer – AWS

Durapid Technologies Private Limited; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Durapid Technologies Private Limited is seeking 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, and Agentic AI, and knowledge of AWS AI services to build production-ready systems.

You will develop APIs, deploy on AWS, integrate LangChain, Bedrock, and SageMaker, and work with data scientists and software engineers to ship

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 and SageMaker is a plus.
• Experience developing APIs using FastAPI/Flask.
• Knowledge of LangChain/LangGraph/LlamaIndex.

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.

Skills

Python

AWS

Generative AI/LLMs

RAG

Agentic AI

LLMs

API design

Tools

FastAPI

Flask

Docker

SageMaker

Bedrock

LangChain

LlamaIndex

LangGraph

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

Skills: aws,python,agentic ai,bedrock,rag,generative ai/llms