GenAI Engineer

Há 5 horas


São Paulo, Brasil Talent Connect Tempo inteiro

GenAI Engineer (Python) – España (Latam Talent) Ubicación: España (contratación local) Modalidad: Full-remote Idioma: Español (C1) + Inglés (B2+)Requisito: NIE España, o Pasaporte EU, residir o mudarse a España. Sobre el rol Nos sumamos al core engineering team que está construyendo una plataforma de AI Agents de próxima generación para un banco líder en España . Buscamos un/a GenAI Engineer con base sólida en Python y buenas prácticas de ingeniería para diseñar, implementar y escalar servicios y componentes de IA generativa en AWS con foco en seguridad, testing y confiabilidad . Creamos productos que la gente ama: unimos negocios y consumidores con tecnología (incluida IA ) y creatividad para impulsar una transformación digital con impacto positivo. Responsabilidades Diseñar y desarrollar servicios backend en Python (FastAPI/Flask) para orquestación de AI Agents y flujos LLM. Implementar tests unitarios e integración (pytest) y asegurar calidad/observabilidad (logs, métricas, trazas). Integrar y administrar autenticación/autorización en AWS (IAM, Cognito ) y manejo de secretos (AWS Secrets Manager). Colaborar en equipos ágiles (Scrum/Kanban) con prácticas de code review , CI/CD y trunk-based development. Documentar decisiones técnicas, patrones y guardrails (seguridad, privacidad, cumplimiento). (Deseable) Construir pipelines de GenAI : prompts, evaluaciones, RAG , embeddings y vector stores . Requisitos (Must) Experiencia fuerte en Python (3.x) y ecosistema profesional: FastAPI/Flask, Pydantic, typing. Testing : dominio de pytest , mocks/fixtures y integration tests . AWS AuthN/AuthZ práctico: IAM, Cognito (roles/policies, OAuth2/OIDC, JWT). Trabajo habitual en Agile , Git y CI/CD (GitHub Actions/GitLab/Jenkins). Fundamentos de diseño de APIs (REST; valorable GraphQL) y contenedores (Docker). Plus (Nice-to-have) Experiencia previa en sector financiero (seguridad, compliance, auditoría). Implementación de LLMs con LangChain / LlamaIndex , OpenAI SDK o AWS Bedrock . Librerías de IA/ML: TensorFlow, PyTorch, scikit-learn . Vector DBs / embeddings: pgvector, Pinecone, OpenSearch, FAISS. RAG y evals (Ragas, DeepEval), prompt engineering y guardrails . Infra/IaC: Terraform/CloudFormation , monitoreo (CloudWatch, OpenTelemetry). Modo de aplicación Si cumples con los requisitos, postula directamente aquí. Si no es para ti, por favor remítelo a un colega a quién los cumpla Gracias


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