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GenAI Engineer (Python) – España (Latam Talent) Job Opening In Medellín – Now Hiring Confidential


Job description




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



  1. Si cumples con los requisitos, postula directamente aquí.


  2. Si no es para ti, por favor remítelo a un colega a quién los cumpla!


¡Gracias!

Required Skill Profession

Computer Occupations


  • Job Details

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