• Translate business requirements into technical specifications • Support the development and evolution of the spatial reasoning core of our AI tool, including: H3 driven spatial analytics pipelines, • Spatial aggregation, density estimation, and hotspot detection • Proximity, adjacency, and neighborhood analysis • Deterministic, reproducible spatial reasoning functions • Performance-optimized algorithms for large datasets • Spatial correctness tests and benchmarking suites • Deploy monitoring tools to track status and performance of system architecture and data flows • Develop API-driven backend services with FastAPI, Pydantic, and async Python • Work with columnar analytics stacks (DuckDB, PyArrow, Parquet / GeoParquet) • Conduct vectorized data processing using NumPy, pandas, Polars • Develop spatial computation with H3, Shapely, and lightweight geospatial utilities • Write testable, benchmarked code using pytest and async test patterns • Use profiling and performance tools to reason about memory, CPU, and data layout • Build with python package managers like uv and poetry utilizing pyproject.toml for project management • Collaborate in open-source–style repositories with linting, formatting, typing, and CI expectations