The role involves evaluating AI-generated legal analysis for accuracy against competition law standards, such as citing correct cases and distinguishing between different jurisdictions. Responsibilities also include building evaluation frameworks to define legal correctness across antitrust domains and designing instructions to improve AI reasoning precision.
Concurrences
4 Remote Job Openings at Concurrences
The developer will own the RAG infrastructure, including chunking pipelines, vector database tuning, and API components, directly supporting real systems used by legal professionals. Key tasks involve intelligent chunking for French court decisions, optimizing embedding strategy, and building out RAG components for retrieval and reranking.
The developer will own the RAG and inference infrastructure for an AI built for antitrust law, making architecture decisions and shipping weekly. Key tasks include building RAG pipelines, developing Python/FastAPI APIs, optimizing Weaviate usage, and integrating LLMs for agentic workflows.
The role involves evaluating AI outputs for legal accuracy across various jurisdictions, building comprehensive evaluation frameworks, and designing precise instructions to guide AI reasoning in antitrust matters. Responsibilities include owning specific legal domains end-to-end, such as EU merger control or cartels, and shaping the product roadmap based on domain insights.
