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Tech Stack
Tools & technologiesCloudDjangoGoogle Cloud PlatformPythonReactTypeScript
About the role
Key responsibilities & impact- Build and improve production RAG and LLM-based systems
- Design and maintain data pipelines that integrate enterprise data sources at scale
- Develop full-stack product features end-to-end, from Python backend through React/TypeScript frontend
- Work on optimization and scheduling problems with real operational constraints
- Build evaluation frameworks that measure whether AI systems are actually improving
Requirements
What you’ll need- 5+ years of hands-on software engineering experience
- Full-stack depth in Python (Django/FastAPI) and modern React/TypeScript
- Production experience building RAG and LLM-based systems, not prototypes
- Strong architectural judgment
- Comfort with large-scale data processing and cloud infrastructure (GCP preferred)
- Fluency with AI-assisted development tools.
Benefits
Comp & perks- Exclusive Ecosystem: Unparalleled access to AI Fund’s experts and Dr.**Andrew Ng’s network of AI luminaries.
- Real-World Impact: We are solving critical performance gaps in energy supply while demand driven by global electrification skyrockets.
- Growth Path: Opportunity to evolve from a lead individual contributor to a**team leader as the company scales.
ATS Keywords
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Hard Skills & Tools
PythonDjangoFastAPIReactTypeScriptdata pipelinesAI systemslarge-scale data processingcloud infrastructureoptimization
Soft Skills
architectural judgment