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aws python django kubernetes flask๐ Description
- Design, build, and ship production backend services and AI components.
- Build and integrate LLM-powered systems (RAG pipelines, AI SDKs, eval workflows).
- Improve reliability, scalability, observability, and operational quality of production AI systems.
- Build internal tools, frameworks, automation, and documentation to boost developer productivity.
- Participate in code reviews, debugging, incident response, and operational support.
๐ฏ Requirements
- 5+ years designing, building, and operating production software.
- Backend engineering with Python frameworks (FastAPI, Flask, Django).
- Experience building or integrating AI/LLM systems in production (RAG, AI SDKs, eval workflows).
- Relational/NoSQL databases: schema design, queries, data modeling.
- Cloud-native technologies (AWS, Docker, Kubernetes).
- Strong CI/CD, observability, and production operations.
- Hands-on with AI-native tools (Cursor, Augment) and embedding AI-driven practices.
- Clear communication and ability to explain tradeoffs to teams.
๐ Benefits
- Health, dental, and vision coverage for you and family
- Life insurance
- Mental wellness coverage
- Fertility and growing family support
- Flex Time Off beyond holidays
- Annual professional development stipend
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