AI Engineer

Wave Group; Madrid; Híbrido; EUR 90.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary up to €100k

Bonus up to 35% (performance-based)

Equity: substantial early-stage share

Hybrid work: Madrid or Barcelona

Descripción de la vacante

Wave Group seeks an experienced backend engineer to build, operate and improve the reliability of autonomous AI agents for enterprise clients. You will own the observability and evaluation layer, including tracing, logging, cost tracking, and regression testing across model changes.

You’ll work end-to-end across the stack: production-grade async Python services, LLM/RAG pipelines, and the voice layer where relevant (STT/TTS, telephony). Hybrid work with Madrid/Barcelona offices offered.

Formación

• Fluent English; Spanish ideal.
• Strong Python backend engineering: async, queues (Celery + Redis).
• Experience building evaluation pipelines for non-deterministic systems.
• Observability: tracing, logging, metrics, cost tracking.
• Cloud deployment and containerisation (AWS/GCP, Docker).
• Git, CI/CD, code review; clean, documented code.
• Startup pace: ownership, proactiveness, ambiguity handling.
• Conversational/voice AI: STT/TTS, telephony (Twilio).
• Frontend experience with React is a plus.
• Experience with enterprise/B2B products.
• Model fine-tuning or cost-optimisation experience.

Responsabilidades

• Build, operate and improve reliability of agentic AI systems for enterprise clients.
• Own observability layer: tracing, logging, metrics, alerting, cost tracking.
• Work across stack: production-grade async Python services, LLM/RAG pipelines, conversational layer if relevant.
• Collaborate across teams to ensure scalable, low-latency deployments.

Conocimientos

English fluency

Spanish (ideally)

Python backend

Async programming

Observability

Cost tracking / optimisation

Cloud deployment

Docker

CI/CD

React frontend

Enterprise/B2B products

Model fine-tuning / optimization

Herramientas

Celery

Redis

Docker

Twilio

Descripción del empleo

Benefits

• Salary: up to ~€100k (flex for strong candidates)
• + up to 35% bonus (~20% standard, rest based on performance)
• Equity: very generous, early stage equity (~70% of your base)

Location: Madrid (preferred) or Barcelona (1-2 office days)

Company: autonomous AI agents for enterprise clients

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 build, operate and continuously improve the reliability of the agentic AI systems running in production for enterprise clients — focused on how agents behave, decide, fail, recover and scale under real operational load, not just on shipping new features.

You'll own the observability and evaluation layer that keeps autonomous agents trustworthy at scale — tracing, logging, cost tracking across model calls, regression testing through prompt and model changes, and alerting on failures, hallucinations and degraded performance before customers ever see them.

You'll also work end-to-end across the stack: production-grade async Python services, LLM/RAG pipelines, and the conversational voice layer where relevant — STT/TTS, telephony, real-time latency.

Must have requirements

• Professional fluency in English (and ideally Spanish)
• Strong Python backend engineering — async programming, high-throughput/message-queue systems (Celery + Redis or equivalent), production-grade service design
• Experience building evaluation pipelines for non-deterministic systems — accuracy/consistency testing, regression testing across prompt and model changes, synthetic test data generation
• Production observability instincts — tracing, logging, metrics, alerting on failures and degraded performance, cost tracking and optimisation across model calls
• Cloud deployment and containerisation experience (AWS/GCP, Docker)
• Git, testing, CI/CD, code review — clean, testable, well-documented code as standard practice
• Startup pace and mentality - high energy, ownership, proactiveness, hunger to innovate and succeed, comfortable operating with ambiguity
• Conversational/voice AI experience — STT/TTS pipelines, turn-taking, telephony integration (e.g. Twilio), latency-sensitive real-time systems
• Frontend experience (ideally React)
• Experience building enterprise or B2B products
• Model fine-tuning or model-selection/cost-optimisation experience