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Popular mid-level fullstack AI role in Bangalore with 3+ years requirement and broad tech stack.
Core Python/React/AWS skills are transferable, but RAG/Agentic AI experience raises domain specificity.
Explicit 3+ years requirement and mandatory Python, React, AWS, Terraform, and RAG experience.
Develop and maintain production services using Python and React with a focus on AI-driven applications.
Design and implement Retrieval-Augmented Generation (RAG) based chatbots and Agentic AI systems with at least 2 years hands-on experience.
Manage cloud infrastructure primarily on AWS including DynamoDB, Lambda, EKS, IAM/SSO; implement Infrastructure-as-Code using Terraform and containerization with Docker; maintain CI/CD workflows via Bitbucket Pipelines.
Minimum 3 years of professional experience building production applications using Python and React.
At least 2 years of experience developing RAG-based chatbots and Agentic AI systems.
Strong expertise in AWS cloud services including DynamoDB, Lambda, EKS, IAM, and SSO.
Proficient with Terraform or Infrastructure-as-Code tooling, Docker containers, and CI/CD pipelines (Bitbucket Pipelines).
Experienced full stack engineer specializing in AI applications leveraging RAG technology and Agentic AI architectures.
Comfortable managing end-to-end cloud infrastructure and automation on AWS with a focus on containerization and Infrastructure-as-Code.
Able to operate in a technology stack involving Python backend, React frontend, and modern DevOps practices ensuring scalable production service deployment.