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react postgresql redis python djangoπ Description
- Build API endpoints with DRF serializers/viewsets for complex models.
- Extend AI agent capabilities: context engineering and retrieval systems.
- Write async task workers: RQ for document parsing and LLM pipelines.
- Improve test coverage with pytest and fixtures; catch N+1 issues.
- Ship frontend features: React/TypeScript components with TanStack Query.
- Debug AI output: fix hallucinations and retrieval failures.
π― Requirements
- Solid Python fundamentals: classes, tracing, data structures.
- Familiar with web APIs: HTTP methods, JSON serialization.
- Git: branching, rebasing, resolving conflicts.
- SQL queries and basic schema design for relational DBs.
- Comfortable with AI tools like Cursor, Claude Code, etc.
- Curious about AI/ML: LLM APIs, RAG pipelines.
- Debug AI-generated code: shipping reliable AI code.
π Benefits
- Mentorship and hands-on learning with senior engineers.
- Ship production code from day one on a real AI platform.
- Culture embracing AI tooling, rigorous testing, and continuous tech innovation.
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