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Open nowPosted 2 days ago

Líder Técnico de IA - fábrica agentica

Gupy (Portal de Vagas)74,621 open roles

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Remote
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Your applicationOpen nowLíder Técnico de IA - fábrica agenticaGupy (Portal de Vagas) · Remote
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Gupy (Portal de Vagas)'s own form.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.0%30 days
This job: posted 2 days ago

The posting

¡Se parte de Stefanini!En Stefanini somos más de 30.000 genios, conectados desde 41 países, haciendo lo que les apasiona y co-creando un futuro mejor.Buscamos el mejor talento para asumir la vacante de Líder Técnico IAResponsabilidades y atribucionesRealizar la auditoría técnica y refactorización del código heredado (Java/Python) para corregir ineficiencias y reducir deuda técnica.Rediseñar la estrategia de consumo de modelos de IA (Azure OpenAI / LLMs), aplicando técnicas de caching, optimización de prompts, gestión de tokens y selección de modelos para reducir costos operativos.Supervisar la arquitectura en Azure (Container Apps, Storage, Table Storage, Key Vault, Communication Services) y liderar decisiones de optimización o migración multi-cloud (AWS).Establecer buenas prácticas de desarrollo, integración continua (CI/CD) en repositorios como Bitbucket, observabilidad (New Relic) y estándares de código limpio.Definir la hoja de ruta técnica para culminar desarrollos inconclusos y coordinar las entregas del equipo.Conocimiento en AWSRequisitos y calificacionesRequisitos TécnicosExperiencia: Mínimo 5 años en desarrollo de software y al menos 1 o 2 años liderando proyectos de Inteligencia Artificial / GenAI en producción.Lenguajes y Frameworks: Dominio avanzado de Python y Java (Spring Boot).Inteligencia Artificial y Datos: Experiencia sólida en consumo e integración de LLMs (OpenAI APIs, LangChain, LlamaIndex), generación de Embeddings, NLP y optimización de costos de inferencia.Cloud Architecture: Experiencia comprobada en Azure (Azure Container Apps, Azure Storage, Azure Table Storage, Key Vault, Azure OpenAI) y conocimientos de AWS (Bedrock, S3, ECS, Lambda)(Si es que migran a AWS).DevOps y Observabilidad: Manejo de New Relic, Git/Bitbucket, pipelines CI/CD y gestión de secretos.Competencias DeseablesEnfoque en FinOps básico (optimización de presupuesto Cloud e IA).Liderazgo técnico y capacidad de interlocución con arquitectura enterprise.

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