Teams at Newcode.ai

Own and operate the end-to-end retrieval pipeline: parsing/chunking, embeddings, vector indexing, semantic+keyword search, reranking, and agentic retrieval loops. Build evaluation (golden sets, metrics, regression tests), ship robust Python/FastAPI services, ensure tenant isolation and data security, and make multilingual retrieval reliable under production load.

Lead testing strategy for AI-powered legal products: build evaluation frameworks, design test plans, measure AI outputs, run regression and UAT, identify risks, and partner with engineering to improve quality and scale the testing function.

This position offers a fully funded PhD scholarship to design AI systems addressing legal industry needs, requiring a Master's in law and industrial experience.