AI Engineer
# AI Engineer **Newhotel** · Lisboa · `On-site` 🕒 **Статус:** *Опубликовано: 11 дней назад* · *Источник: Indeed* --- ### About the Role 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
Наблюдалась 2026-09-15, впервые 2026-09-04, источник — Indeed.