Docket

• Lead and architect IDP (Intelligent Document Processing) solutions: develop, train, and optimize robust pipelines for extracting unstructured data from complex documents, defining efficient fine-tuning, RAG, and computer vision strategies. • Architect Agentic AI development: design and productionize complex agentic workflows using LangGraph, n8n, and others, ensuring state management, resilience, low latency, and failure handling in the orchestration of the formalization and credit pipeline. • Model structured data for new AI products: build statistical pipelines and advanced analytical models on the data extracted by IDPs, transforming raw data into strategic business reports, market indices, and predictive intelligence. • Ensure Quality, Observability, and Cost (Evals & FinOps): structure automated evaluation frameworks (LLM Evals) to measure hallucination, accuracy, and recall of models in production, optimizing token consumption and infrastructure costs. • Autonomy and cross-functional collaboration: work directly with Product Managers, Engineering, and Technical Leadership to translate market pain points into viable architectures, participating actively from PoC design through final production delivery. • Mentorship and technical culture: support the technical development of more junior team members, disseminating best practices for coding, modeling, and AI usage.

• Support the development of IDP (Intelligent Document Processing) solutions: Contribute to creating, training, tuning models and fine-tuning for extracting unstructured data from complex documents. • Build the future of agentic AI: Assist in orchestrating workflows using frameworks such as LangGraph, n8n, and others, connecting document extraction to approval and formalization pipelines. • Transform data into products: Apply statistical techniques and data analysis to the structured datasets produced by our IDPs, helping identify patterns and insights that will become new AI products for our clients. • Collaborate with technical, product and commercial teams: Work side by side with Technical Leadership, Data Engineering, Product Managers and the Front-end team, evaluating, supporting and improving the transition of proofs of concept (PoCs) to production solutions. • Ensure quality and monitoring: Help evaluate model outputs (LLMs, RAGs and classical models), test prompts and document processes, ensuring solutions are accurate and scalable. • Learn and innovate: Stay up to date with the state of the art in Generative AI, bringing curiosity, ideas and proactivity to solve bottlenecks in our document pipeline.