. **Responsibilities and duties** * Develop and enhance generative artificial intelligence solutions focused on document processing and analysis; * Build and maintain automated data ingestion pipelines for Retrieval-Augmented Generation (RAG)-based solutions; * Prepare, structure, and transform documents for processing by large language models (LLMs); * Develop solutions using cloud-based AI services, with a focus on Azure AI Services and AWS Bedrock; * Implement and optimize semantic search mechanisms, embeddings, and vector databases for intelligent information retrieval; * Create, fine-tune, and evolve prompts to maximize the accuracy and quality of responses generated by AI models; * Integrate applications with generative AI APIs, including OpenAI-based solutions and equivalent services; * Participate in defining and implementing scalable architectures for AI applications in cloud environments; * Design and execute test plans to validate the functional and technical performance of developed solutions; * Define and implement metrics and KPIs to monitor performance, quality, and effectiveness of AI solutions; * Produce technical and functional documentation for implemented solutions; * Collaborate with stakeholders to understand business needs and translate them into AI-based solutions; * Present results, analyses, and solution progress to technical teams and business units; * Contribute to the continuous evolution of practices, frameworks, and processes related to generative AI and machine learning. **Requirements and qualifications** * Bachelor's degree in Information Technology or a postgraduate degree in IT with a minimum of 360 hours accredited by the MEC; * Minimum of 4 years of proven professional experience in technology-related roles; * Experience with generative artificial intelligence solutions and integration of large language models (LLMs); * Practical knowledge of architectures and solutions based on Retrieval-Augmented Generation (RAG); * Experience building automated data ingestion and processing workflows for AI applications; * Advanced knowledge of Azure, including services such as Azure OpenAI, AI Document Intelligence, and other AI capabilities; * Knowledge of AWS, especially Amazon Bedrock; * Experience integrating with chat APIs and language models; * Knowledge of embeddings, vector databases, and semantic search mechanisms; * Experience designing cloud-based AI solution architectures; * Strong Python proficiency for developing and integrating scalable solutions; * Experience handling and processing large volumes of data; * Familiarity with source code versioning using Git; * Ability to document technical solutions and present results to diverse audiences. * Desirable: Experience in document analysis projects using generative AI; Knowledge of advanced prompt engineering techniques; Experience with AI orchestration frameworks such as LangChain or similar; Hands-on experience with observability and monitoring of AI applications; Knowledge of evaluation and optimization of AI model quality metrics; Experience with hybrid information retrieval solutions (semantic and traditional search); Certifications in Azure, AWS, or areas related to Artificial Intelligence and Cloud Computing. **Additional information** #remote Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies. We equip our team with proprietary and external AI-driven tools to design and build digital-native platforms, integrating cutting-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets. To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies. We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth. **Join us and be part of the AI-driven revolution.**
João Silva
Indeed · HR
João Silva
Indeed · HR
