Not specified; not specified; flexible work practi...
Hybrid
Full stack development with typescript and next.js
Python and node.js backend engineering
Aws bedrock and multi-cloud ai services
Capgemini Singapore is seeking a Full Stack Engineer to join their Gen AI team, where the candidate will develop and maintain both front-end and back-end components for innovative AI applications. The ideal candidate will have strong experience with cloud services, full stack development, and testing methodologies, particularly in AI contexts
Job Summary
This role involves building cutting-edge Gen AI applications such as RAG chatbots and autonomous agent systems across AWS, GCP, and Azure environments.
Candidates will be responsible for implementing robust testing strategies to detect hallucinations and ensure the accuracy of Large Language Model outputs.
Capgemini offers flexible work practices, 40 hours of annual self-development time, and a commitment to diversity, inclusion, and environmental sustainability.
Matching Summary
Match Score: 85
Capgemini Singapore is seeking a Full Stack Engineer to join their Gen AI team, where the candidate will develop and maintain both front-end and back-end components for innovative AI applications. The ideal candidate will have strong experience with cloud services, full stack development, and testing methodologies, particularly in AI contexts.
Salary
Not specified; Not specified; Flexible work practices and 40 hours of self-development annually
Skills & Requirements
Must-have
Full stack development with TypeScript and Next.js
Python and Node.js backend engineering
AWS Bedrock and multi-cloud AI services
Agentic AI framework implementation
LLM integration and API design
Automated testing for hallucinations
Database management for AI workflows
Nice-to-have
Experience with LangGraph or AutoGen frameworks
Knowledge of prompt engineering techniques
Familiarity with Docker and Kubernetes
Understanding of UX/UI for AI interfaces
Multi-cloud cost optimization strategies
Serverless computing experience
Model evaluation metrics knowledge
Key Requirements
Strong experience with AWS cloud services
Proficiency in TypeScript, Next.js, Python, and Node.js
Hands-on experience with cloud-based AI services
Ability to implement multi-cloud integration strategies