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We’re hiring an AI Engineer to design, build, and deploy production-grade LLM systems that power our legal platform. This role is focused on applied AI, turning real-world legal workflows into reliable, agent-driven systems that operate over documents, messages, and structured data. You’ll work at the core of our AI layer, building agents, evaluation systems, and data pipelines that directly impact how legal work is performed. The environment is highly iterative and performance-driven, with a strong emphasis on reliability, correctness, and real-world usability, not just demos. Design and deploy LLM-powered systems for document understanding, drafting, and workflow automation Build and orchestrate agent-based systems (e.g., LangChain / Deep Agents) for complex, multi-step tasks Develop and maintain evaluation frameworks to measure accuracy, reliability, and regressions Implement data pipelines for ingesting and structuring documents (including OCR workflows) Improve system performance through prompt design, retrieval strategies, and tool integration Work closely with product and engineering to translate legal workflows into AI-native systems Debug and optimize long-running agent jo