GraphRAG Developer Challenge – Legal Document Processing (Prototype) Role: Senior RAG Systems Developer (Contract / Freelance) Compensation: $600 — paid only if you pass.
95% benchmark) Timeline: 3–5 days from materials receipt to live demo Purpose: Technical evaluation for potential long-term hire Frontend / UI: None (backend prototype only) Contact: Objective We’re seeking an expert in
Deliverable Implement two functions in Python 3.12:
def ingest(document_paths : List(str)) -> None: """Ingest Markdown docs and build the knowledge graph."""
def query(questions : List(str)) -> List(str): """Return answers with Vancouver-style citations grounded in retrieved sources."""
No UI, no API keys provided. Any stack may be used. query(...) must support parallel execution (~400 questions in ≤60 min) and show a progress indicator. Test thoroughly for correctness and performance before the demo.
Live Demo
In a 60-minute live session you will : Receive ~400 unseen questions. Run query(...) to produce / answers.json. Explain your architecture : how the graph is built, traversed, and used to generate grounded answers. Only the developer(s) who wrote the code may present. Evaluation Passing requires an overall score above 95%, measured by (LLM as a judge) : Faithfulness (grounded, no hallucinations), Relevance (retrieval matches intent), Completeness (covers key legal points), and Clarity (structured, legally coherent writing).
Payment & Next Steps
If you pass, you’ll receive $600 USD after verification of reproducibility and hand-over of the repo (codebase, Poetry lock, run instructions, brief tech note). Top performers may be invited to interview for a long-term paid role. Failure to pass or complete within 60 minutes = no payment (you keep your code). Key Priorities Parallelization, graph-based reasoning, correctness, and explainability.
Note for Agencies
We will not engage in pre-contract discussions with agencies. If an agency wishes to propose a developer, communication will proceed only after that developer passes the benchmark test. This ensures time efficiency and direct technical validation.
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