Job Title: Software Engineer (Agentic AI)
Salary: up to ~€100k (flex for strong candidates)
+ up to 35% bonus (~20% standard, rest based on performance)
Equity: very generous, early stage equity
Location: Madrid 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.
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.
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
Twilio), latency-sensitive real-time systems
Frontend experience (ideally React)

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