AI Engineer

Description

Summary: We are seeking a skilled AI Engineer to implement, deploy, and optimize artificial intelligence solutions across our product ecosystem, transforming prototypes into production-ready AI services. Highlights: 1. Design and build end-to-end, LLM-powered applications and AI agents. 2. Develop and maintain Retrieval-Augmented Generation (RAG) structures. 3. Implement observability and evaluation tooling for AI system performance. ***About the Role*** We are seeking a skilled AI Engineer to drive the implementation, deployment, and optimization of artificial intelligence solutions across our product ecosystem. In this role, you will collaborate with cross\-functional teams to transform functional prototypes into robust, production\-ready AI services. The ideal candidate possesses deep backend software engineering fundamentals alongside specialized expertise in working with APIs, LLM orchestration frameworks, and vector databases. ***Key Responsibilities*** * **Application Architecture \& Development:** Design and build end\-to\-end, LLM\-powered applications, workflow automations, and autonomous AI agents. * **Model Integration:** Connect, orchestrate, and maintain external and self\-hosted AI model APIs under real\-world runtime constraints. * **Context \& Retrieval Engineering:** Develop and maintain Retrieval\-Augmented Generation (RAG) structures, advanced prompt engineering chains, and data pipelines over proprietary business data. * **System Evaluation \& Monitoring:** Implement observability and evaluation tooling to continuously grade, monitor, and audit AI system performance, bias, and accuracy. * **Cross\-functional Collaboration:** Work closely with engineers and frontend developers to smoothly transition proof\-of\-concepts into consumer\-ready software. * **Reliability Engineering:** Address complex edge cases such as error handling, model drift, fallback mechanics, and self\-healing system pipelines. ***Requirements \& QualificationsTechnical Skills \& Experience*** * **Software Fundamentals:** Proficiency in Python (highly critical) and/or modern backend ecosystems like Node.js/TypeScript. Strong grasp of data structures, algorithms, and microservices. * **AI Toolkits:** Experience with orchestration layers, model hosting platforms, and vector databases. * **Cloud \& DevOps:** Familiarity with deploying applications via cloud infrastructure like AWS, Google Cloud, or Microsoft Azure. * **Data Literacy:** Solid command of SQL and data manipulation libraries, alongside a foundational understanding of data science principles. ***Education \& Soft Skills*** * **Education:** Bachelor’s degree in computer science, Data Science, Mathematics, or a related technical discipline (or equivalent practical experience). * **Communication:** Ability to articulate complex technological decisions and mechanics to non\-technical stakeholders and leadership teams. * **Problem Solving:** A proactive, scientific approach to troubleshooting non\-deterministic software behaviour. Pagamento: 1 600,00€ \- 2 500,00€ por mês Benefícios: * Cartão/Ticket refeição * Seguro saúde Localização do trabalho: Trabalho remoto híbrido em Lisboa