GenAI Application Engineer job opportunity at DaCodes.

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Date2025-11-11T22:01:20.723Z bot
DaCodes GenAI Application Engineer
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Merida, Mexico
loacation Merida....Mexico

Misión del Rol Diseñar, prototipar y entregar aplicaciones funcionales potenciadas con inteligencia artificial , priorizando la arquitectura y desarrollo backend. El objetivo es convertir ideas en soluciones escalables e integradas con IA generativa —como asistentes, tableros interactivos y módulos reutilizables— utilizando herramientas de desarrollo asistido por IA y servicios en la nube, manteniendo altos estándares de calidad, diseño y rendimiento. Principales Responsabilidades Diseñar e implementar servicios backend escalables y modulares , integrando componentes de IA generativa. Desarrollar POCs y MVPs en ciclos cortos, garantizando funcionalidad y despliegue en entornos cloud. Aplicar Prompt Engineering para la orquestación efectiva de modelos generativos. Integrar bases de datos vectoriales (Pinecone, OpenSearch, Chroma, Qdrant) y mecanismos de recuperación (RAG). Implementar procesos de fine-tuning y adaptación de modelos de IA para casos específicos. Crear dashboards interactivos y entornos de visualización (Amazon Quicksight u otras herramientas). Colaborar con equipos de producto, diseño y data para integrar IA en componentes visibles del sistema. Documentar la arquitectura, decisiones técnicas y economía de tokens de cada solución. Perfil Deseado Formación: Ingeniería en Computación, Software o carrera afín. Experiencia: 3–5 años en desarrollo de software, con énfasis en backend y arquitecturas escalables . Nivel: Intermedio-avanzado, con interés genuino por la IA aplicada y herramientas emergentes. Competencias Técnicas Prioritarias 🔹 Indispensables Herramientas de desarrollo asistido con IA: Cursor, Lovable, Kiro, Claude Code. Bases de datos vectoriales: Pinecone, OpenSearch, Chroma, Qdrant. Prompt Engineering (construcción, evaluación y versionado de prompts). Lenguajes y frameworks backend: Node.js o Python (mínimo 3 años de experiencia). Cloud & Deploy: AWS (Amplify, Lambda, Bedrock), Vercel, Supabase. 🔹 Requeridas Fine-tuning de modelos de IA. Creación de dashboards interactivos (Amazon Quicksight o equivalentes). Frontend (nivel funcional): React, Next.js o frameworks similares. Integración de APIs REST / JSON. 🔹 Deseables Frameworks de agentes: LangGraph, CrewAI, Strands Agents. Procesos ETL: Pandas, Airbyte, DBT, Airflow, SQL, Snowflake o BigQuery. Model Context Protocol (MCP) y n8n para flujos de automatización. Experiencia con RAG y diseño de pipelines de IA generativa. Competencias Clave Capacidad para prototipar rápido con foco en backend y escalabilidad. Dominio de la integración de modelos generativos mediante APIs y servicios cloud. Pensamiento sistémico y orientado a resultados . Habilidad para documentar y explicar decisiones técnicas de forma clara. Interés genuino por la experimentación con nuevas herramientas IA. Resultados Esperados Entrega oportuna de POC y MVP de alta calidad. Disminución significativa de defectos mediante pruebas generadas con IA. Adopción interna de módulos GenAI reutilizables por diferentes equipos. Documentación precisa sobre el uso y economía de tokens. Aplicaciones preparadas para demostraciones, observabilidad y pruebas A/B.

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