Durapid Technologies
Website:
durapid.com
Job details:
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
Click on Apply to know more.