Engineering Manager (Ai)

Wave Group; Madrid; Híbrido; EUR 100.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity option

Office in Madrid/Barcelona

Hybrid work model

Descripción de la vacante

Wave Group busca un Engineering Manager (IA) para liderar un equipo de ingeniería de alto rendimiento en Madrid o Barcelona. En este rol, serás responsable de la arquitectura, la fiabilidad y la escala de una plataforma de IA operativa, manteniendo un enfoque hands-on.

Se requiere experiencia sólida en Python, sistemas distribuidos, gestión de equipos con al menos 5-6 reports, y capacidad para convertir la visión técnica en entregas tangibles.

Formación

• Experiencia en Python backend (async/ASGI, Django/Channels, Celery)
• Experiencia en sistemas distribuidos de alto rendimiento
• Conocimientos de SQL/NoSQL, infra nube, CI/CD y observabilidad
• Conocimientos avanzados de LLMs, RAG y AI agents
• Historial de liderazgo técnico con responsabilidad directa sobre equipos
• Capacidad de gestionar rendimiento, salarios y desarrollo profesional
• Ritmo de startup, proactividad y iniciativa

Responsabilidades

• Liderar la arquitectura, fiabilidad y escalabilidad de una plataforma de IA en producción.
• Gestionar y hacer crecer un equipo de ingeniería de IA, con planes de carrera y evaluaciones de desempeño.
• Mantener un equilibrio entre orientación técnica y desarrollo de personas; codear cuando sea necesario.

Conocimientos

Python backend

Distributed systems

SQL/NoSQL

Cloud infra

CI/CD

LLMs/RAG

People management

Hands-on coding

Descripción del empleo

Descripción del trabajo

Job Title: Engineering Manager (AI) Salary: €100-130k + up to 35% bonus (~20% guaranteed, rest based on performance) Equity: up to ~€80k Location: Madrid (preferred) or Barcelona (1-2 office days) Company: autonomous AI agents for enterprise clients Team: ~30 Funding: ~$25m (Series A)

About the company This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world. The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America. Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.

About the role

You'll be a senior engineering leader working directly under the CTO/Co-Founder, with genuine 50/50 weight across technical ownership and people management:

• On the technical side, you'll own architecture, reliability and scale for a production platform handling real-time, high-throughput traffic, whilst staying hands-on (writing, reviewing, debugging code).
• On the management side, you'll be growing and running a high-performing AI Engineering team, scaling from ~9 to ~13 in the near future. This role includes hiring, coaching, career development, performance conversations, comp discussions etc. — not just technical leadership.

Must have requirements

• Deep backend engineering in Python — async/ASGI, Django/Channels, Celery + RabbitMQ/Redis
• Proven experience building and operating high-RPS, distributed, production-grade systems
• Comfort with SQL/NoSQL, cloud infra, CI/CD and production observability
• Strong working knowledge of LLMs, RAG, and agentic AI systems (you don't need to have built the agents yourself, but you understand how they work and what breaks them)
• A genuine "still in the code" mindset — you've led teams without stepping away from building
• Genuine people-management track record — at least 5-6 direct reports, comfortable owning performance management, salary/comp conversations and career development, not just technical leadership
• Startup pace and mentality — high energy, ownership, proactiveness, hunger to innovate and succeed

Bonus points for

• Exposure to conversational/voice AI infrastructure (Twilio/IVR, STT/TTS, latency optimisation)
• Experience leading 8+ direct reports