Job Summary

We are looking for an AI Engineer with solid 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

📌 AI Engineer – AWS (India)
🏢 Durapid Technologies Private
📍 India