Senior AI Engineer – GenAI, Python, LLMs
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Job Description
Senior AI Engineer desarrollando soluciones GenAI, RAG y agentes para el sector bancario en Devsu. Integración, despliegue y monitoreo de IA en producción.
Responsibilities:
- Diseñar y desarrollar soluciones de IA Generativa y Agéntica utilizando LLMs, RAG y agentes de IA.
- Traducir requerimientos de negocio en soluciones técnicas de Inteligencia Artificial.
- Desarrollar e integrar soluciones de IA con APIs, microservicios, fuentes de datos y sistemas empresariales.
- Desarrollar aplicaciones backend y full stack incorporando componentes de Inteligencia Artificial.
- Seleccionar y utilizar frameworks y patrones adecuados para la construcción de soluciones de IA.
- Diseñar y optimizar pipelines de inferencia considerando latencia, costos, escalabilidad y confiabilidad.
- Participar en el despliegue de soluciones de IA en producción mediante estrategias como Canary, A/B, Shadow Mode y rollback.
- Implementar mecanismos de logging, trazabilidad, observabilidad y monitoreo.
- Diseñar y ejecutar pruebas para evaluar la calidad y desempeño antes de producción.
- Implementar guardrails y controles de seguridad.
- Aplicar Secure by Design, IAM, mínimo privilegio, protección frente a prompt injection y fuga de datos.
- Monitorear métricas de alucinaciones, sesgos, fairness y calidad en producción.
- Colaborar con equipos de Datos, Cloud, Seguridad, Arquitectura, SRE, Producto y Negocio.
- Proponer mejoras y promover la reutilización de componentes y buenas prácticas.
- Dar seguimiento a las soluciones desde el diseño hasta su operación en producción.
Requirements:
- Profesional en Ingeniería de Sistemas, Ingeniería de Software, Ciencias de la Computación, Ciencia de Datos o carreras afines.
- Experiencia senior en desarrollo de software y experiencia práctica desarrollando soluciones de IA/ML o IA Generativa.
- Experiencia desarrollando soluciones con LLMs, RAG y/o agentes de IA.
- Dominio de Python.
- Experiencia desarrollando APIs, backend, microservicios y sistemas distribuidos.
- Conocimientos de Prompt Engineering y evaluación de soluciones basadas en LLMs.
- Experiencia con plataformas de IA como OpenAI, Azure AI y/o AWS Bedrock.
- Conocimiento de frameworks como LangChain, Hugging Face, PyTorch u otros equivalentes.
- Conocimientos de Cloud, CI/CD, Docker y Kubernetes.
- Conocimientos de MLOps / LLMOps, observabilidad y monitoreo.
- Conocimientos de seguridad aplicada a IA, incluyendo IAM, Secure by Design, prompt injection y protección de datos.
- Capacidad para trabajar con equipos multidisciplinarios y traducir necesidades de negocio en soluciones técnicas.
- Inglés técnico para lectura de documentación y uso de herramientas tecnológicas.
Benefits:
- Contrato estable a largo plazo, con amplias oportunidades de crecimiento profesional.
- Seguro médico privado para tu tranquilidad y la de tu familia.
- Programas continuos de capacitación, mentoría y aprendizaje.
- Acceso gratuito a recursos de formación en inteligencia artificial y herramientas de IA de última generación.
- Política flexible de tiempo libre remunerado (PTO), además de los días festivos pagos.
- Participación en proyectos de software desafiantes y de clase mundial para clientes en Estados Unidos y Latinoamérica.
- Entorno diverso, inclusivo y colaborativo.
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