Agentic GEN AI Full Stack Developer
Capgemini (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 10–20 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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 Requirements
- 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).
Ideal Candidate Profile
- 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.