Senior Tech Lead
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Job Description
Full Stack Software Engineer supervisando agentes de IA generativa para construir soluciones escalables. Evolución hacia Tech Lead en una empresa especializada en inteligencia artificial y aprendizaje automático.
Responsibilities:
- Dirigir, supervisar y validar el trabajo de agentes de IA generativa y agéntica para construir soluciones escalables
- Diseñar arquitectura y definir el propósito de las soluciones
- Delegar ejecución táctica a la IA y revisar, corregir y aprobar sus resultados antes de producción
- Entregar funcionalidades completas de complejidad media con velocidad y calidad
- Colaborar con ingenieros y equipos multidisciplinarios para integrar servicios, pipelines y modelos
- Dirigir agentes de IA para generar funciones y servicios; revisar y refactorizar el código
- Escribir código propio en piezas críticas o ambiguas
- Diseñar estrategias de pruebas smoke, integración y end-to-end; verificar la cobertura
- Definir arquitectura de pipelines batch y auditar schemas y coherencia entre orígenes y destinos
- Supervisar entrenamiento de modelos y ajuste de hiperparámetros, evaluando resultados frente al problema de negocio
- Acelerar el triage y diagnóstico de incidentes, clasificando, comunicando y resolviendo runbooks comunes
- Ejecutar y validar threat checklists y recomendaciones de parches de seguridad
- Definir criterios de aceptación y Definition of Done
- Diseñar prompts, contexto y flujos reutilizables para copilotos e IA generativa
- Evolucionar hacia Tech Lead, orientando desarrolladores, tomando decisiones técnicas, siguiendo entregas y contribuyendo al desarrollo del equipo
Requirements:
- De 4 a 10 años de experiencia como Full Stack Software Engineer
- Mínimo 1 año liderando equipos técnicos, acompañando desarrolladores y dando seguimiento a entregas
- Excelente capacidad de comunicación
- Sólidas habilidades de pensamiento lógico y resolución de problemas y proyectos
- Dominio avanzado de Python, JavaScript y React
- Experiencia profunda con TensorFlow y PyTorch
- Conocimiento sólido de pandas y scikit-learn
- Experiencia con AWS, Google Cloud o Azure y servicios de machine learning
- Fundamentos sólidos de ingeniería de software: estructuras de datos, patrones de diseño y principios de arquitectura
- Experiencia utilizando GitHub Copilot, Cursor o Claude Code en flujos reales de desarrollo
- Experiencia con pipelines de CI/CD y pruebas unitarias
- Conocimiento de bases de datos relacionales y no relacionales
- Familiaridad con Git
- Experiencia en proyectos de aprendizaje automático o IA aplicada (MCP, LLMs y RAG)
- Criterio técnico para evaluar outputs de IA
- Autonomía en tareas de complejidad media y orquestación de herramientas de IA
- Interés en DevSecOps y uso de IA para productividad
- Inglés avanzado escrito y oral
- Habilidades probadas de liderazgo técnico y mentoría
- Capacidad para colaborar con equipos de científicos de datos y producto
- Enfoque en soluciones de alta calidad con pruebas rigurosas
- Mentalidad innovadora y compromiso con la investigación constante
Benefits:
- Trabajo híbrido-remoto con horario alineado a CST (Ciudad de México)
- PTO ilimitado
- Presupuesto anual para desarrollo: cursos, certificaciones y conferencias
- Presupuesto para equipamiento del espacio de trabajo remoto
- Cobertura médica privada o subsidios para seguro médico
- Plan de carrera y mentoría con expertos en IA y tecnología
- Ambiente de startup dinámico y flexible, con autonomía y enfoque en resultados
- Flexibilidad y cultura de balance vida-trabajo
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