AI Product Engineer | Lisboa/ Porto em Canhas, Portugal - Jobeax
Descrição da vaga
AI Product Engineer | Lisboa/ Porto em Canhas, Portugal
AI Product Engineer | Lisboa/ Porto em Canhas, Portugal is listed on Jobeax. Browse 30,000+ vacancies available.
País/região: PT
Localização: Campo Grande, PT
Área: Data Science e Analytics
A NOS é líder em comunicações, entretenimento e tecnologia em Portugal.
Estamos a aplicar Generative AI e Machine Learning em operações internas de larga escala, com o objetivo de transformar o modelo operativo da organização e melhorar, de forma mensurável, o dia a dia de milhares de colaboradores e milhões de clientes.
A função
Como AI Engineer , vais integrar squads ágeis e multidisciplinares, ligando GenAI, engenharia de dados e engenharia de software — maioritariamente em GCP — com impacto direto nas operações internas da NOS.
A função tem uma forte componente de produção e integração: hardening, testes, deploy, observabilidade e melhoria contínua.
Principais responsabilidades
Desenhar, desenvolver e operar soluções de GenAI em produção, incluindo RAG com reranking e filtros sobre fontes internas (documentos e dados estruturados)
Desenvolver agentes com autonomia controlada, assentes em workflows definidos e guardrails, com auditoria e controlo de risco
Construir e manter suites de evals (datasets, métricas e regressões) e quality gates em CI, protegendo as releasesImplementar mecanismos de segurança: proteção de PII, cumprimento de políticas, constraints e logging estruturado para auditoria
Construir pipelines de dados escaláveis e fiáveis em GCP (BigQuery, GCS, Pub/Sub), com serviços em Cloud Run, em batch e streamingDesenvolver serviços de API internos, com métricas e alertas
Perfil pretendido
Experiência prática na entrega de software de dados/ML em produção (Mestrado valorizado, não obrigatório)Python sólido: código legível, testável e versionado, com prática de code review
Experiência com pipelines de dados (batch e/ou streaming )
Experiência aplicada em GenAI: RAG, agentes, guardrails e/ou evals, para além de prompting experimentalMentalidade de fiabilidade e operação: logging, métricas, troubleshooting
Fatores diferenciadores:Experiência com GCP (BigQuery, GCS, Pub/Sub, Cloud Run; Vertex AI é um plus)
Observabilidade e gestão de custos (tokens, latência)
Prática com evals estruturados e regressões em GenAISistemas event-driven, streaming e integrações via APIsExperiência em squads multidisciplinares, orientados a impacto e métricas
Na NOS vais encontrar escala real, dados complexos e problemas relevantes; equipas experientes em engenharia, dados e produto; e autonomia técnica com responsabilidade e foco em impacto. Aqui, a tecnologia é um meio para transformar a forma como a empresa funciona e cria valor.
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