Full Stack AI Engineer
Tasks
- Build production LLM applications
- Collaborate on technical design and solutions
- Design agent workflows
- Develop RAG pipelines
- Enhance user experience with front-end components
- Implement secure authentication methods
- Incorporate vector database retrieval
- Iterate and optimize AI applications
- Partner with cross-functional teams for product needs
- Ship end-to-end features
Perks/Benefits
Skills/Tech-stack
AI Chat | AI/chat UX | AWS Bedrock | Agentic Frameworks | Aurora | CI/CD | CloudFormation | Data Governance | FastAPI | GitHub Copilot | Google Cloud | IaC | Kubernetes | LLM Applications | OAuth2 | Observability | OpenSearch | Pinecone | Postgres | Prompt engineering | Pulumi | Python | RAG Pipelines | React | SQL | Security Protocols | Streaming responses | TypeScript | Vector Databases
Education
Bachelor's | Economics | Master's | Mathematics | Statistics
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer
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