AI Engineer

Role Overview

The AI Engineer will develop document-AI pipelines, LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and evaluation datasets for enterprise applications. Responsibilities include processing scanned/digital documents, extracting/classifying information, optimizing retrieval quality, and integrating AI services with OutSystems via APIs.

Key Responsibilities

• Build document-processing pipelines for extraction, classification, and information retrieval.
• Develop RAG pipelines using embeddings, vector databases, and LLM APIs.
• Create, test, version, and maintain prompts and prompt templates.
• Build evaluation datasets to measure answer accuracy against source documents.
• Process scanned PDFs using OCR and document-processing services.
• Tune retrieval strategies (chunking, embeddings, ranking) for relevance improvement.
• Expose AI capabilities through REST APIs for OutSystems integration.
• Write automated tests evaluating AI-generated responses vs. source documents.
• Monitor pipeline performance to improve output reliability.