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Urgent! Generative AI Engineer Job Opening In Mexico City – Now Hiring Layer7 SAPI de CV

Generative AI Engineer



Job description

Job Description

This is a remote position.

Sobre Layer7:

En Layer7 estamos construyendo tecnología en hiperescala, donde cada decisión de ingeniería impacta a millones de usuarios y a las operaciones críticas de bancos, retailers y grandes empresas.

Somos más de 100 profesionales apasionados enfrentando problemas de alta complejidad técnica: desde sistemas distribuidos resilientes hasta plataformas capaces de procesar miles de millones de interacciones al año.

Aquí cultivamos una cultura de alto rendimiento, curiosidad técnica y camaradería real, con espacio para crecer, aprender y mantener un balance sano entre vida personal y profesional.

Si disfrutas resolver problemas difíciles, diseñar sistemas que escalan sin límites y atreverte a innovar con impacto, este es tu lugar.

Responsabilidades del Puesto:

Como Generative AI Engineer de nivel medio, tu misión será diseñar, entrenar e implementar sistemas conversacionales que integren voz, texto y contexto.

Trabajarás en estrecha colaboración con los equipos de producto, ingeniería y ciencia de datos, contribuyendo al desarrollo de un pipeline completo de speech-to-speech AI agents.



Tus principales responsabilidades incluirán:

● Diseñar, implementar y optimizar agentes de voz basados en modelos de lenguaje grande (LLMs) y modelos de voz (TTS/STT).
● Desarrollar pipelines de conversación continua (speech→text→LLM→speech) con foco en latencia baja y naturalidad de respuesta.
● Aplicar técnicas de prompt engineering y context management para mantener coherencia, memoria conversacional y control de tono.
● Integrar modelos generativos en entornos backend (FastAPI, LangChain, LangGraph, AutoGen o equivalentes).
● Afinar y evaluar modelos multimodales, incluyendo fine-tuning de TTS (PiperTTS, CosyVoice, Bark) y ASR (Whisper, WhisperX).
● Desarrollar métricas internas de evaluación de diálogo (inteligibilidad, empatía, consistencia contextual).
● Monitorear el desempeño de los modelos en producción y aplicar técnicas de feedback-based optimization.
● Colaborar en la definición de nuevas funcionalidades de agentes de voz, incluyendo integración con telefonía o WebRTC.

Oportunidades de Desarrollo:

● Desarrollar modelos de voz personalizados y comprender la arquitectura de sistemas speech-speech real-time.
● Trabajar con tecnologías de vanguardia: WhisperX, PiperTTS, GPT-4o, Gemini 1.5 Pro, LangGraph, y motores de inferencia acelerados (Groq, ONNX Runtime).
● Diseñar prompt stacks y context planners para agentes autónomos conversacionales.
● Participar en proyectos que combinan IA generativa, emociones y conversación natural, con impacto directo en miles de usuarios.

Además, tendrás la responsabilidad de investigar y proponer las mejores herramientas y técnicas para optimizar los procesos de análisis y documentación.

Ambiente de Trabajo:

Formarás parte de un equipo especializado en IA generativa aplicada a voz y lenguaje, con alto nivel técnico y enfoque ético.
Promovemos un entorno de aprendizaje constante, colaboración abierta y responsabilidad compartida.
Tendrás autonomía técnica y apoyo continuo para impulsar tus ideas hacia producción.

¡Únete a nuestro equipo!
¡Queremos que formes parte de nuestro talentoso equipo de profesionales! Aprovecha esta oportunidad para desarrollar tus habilidades y crecer profesionalmente en un ambiente dinámico y colaborativo.


Requirements

Este rol es ideal para un profesional con experiencia en IA conversacional, síntesis y comprensión del habla, que desee construir agentes de voz inteligentes y autónomos.



Buscamos a alguien que disfrute diseñar experiencias naturales entre humanos y máquinas, dominando tanto la parte técnica como la creatividad aplicada al diseño de conversación.

Habilidades y Competencias Requeridas:

● Dominio avanzado de Python y experiencia en desarrollo de APIs RESTful o WebSocket.
● Experiencia práctica con tecnologías de OpenAI, Whisper, PiperTTS, LangChain, LangGraph, AutoGen o similares.
● Conocimientos sólidos en procesamiento de audio, diarización, embeddings de voz y Voice Activity Detection (VAD).
● Experiencia en MLOps (Docker, entornos virtuales, MLflow, DVC, control de versiones de modelos).
● Experiencia comprobable en despliegue de modelos speech o generativos en entornos reales (mínimo 2 años).
● Habilidad para analizar resultados de modelos generativos y proponer mejoras cuantitativas y cualitativas.
● Capacidad para trabajar en equipo multidisciplinario, con criterio técnico y comunicación efectiva.

Benefits

Sueldo competitivo 
Prestaciones de ley y superiores
Ambiente de trabajo colaborativo y de aprendizaje 



Requirements
IA Generative, LLMS, TTS, FastAPI, Lang Chaing, LanGraph


Required Skill Profession

Computer Occupations



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