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Senior AI Developer — telco intelligence

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Telefónica

Full-time
Senior
Aura AI
Hybrid
Ronda de la Comunicación s/n, 28050 Madrid, Spain · Hybrid
EUR 55k–78k/year + variable

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Ronda de la Comunicación s/n, 28050 Madrid, Spain · Hybrid
Compensation: EUR 55k–78k/year + variable
Experience level: Senior
Team: Aura AI
Benefits & perks

About this role

What the team is looking for and how this position fits.

Telefónica is hiring a Senior Senior AI Developer — telco intelligence on the Aura AI team (Hybrid · Madrid, Spain). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Telefónica is a global telecom leader — Aura AI assistants and network intelligence from Distrito Telefónica, Madrid.

Senior AI Developer (hybrid Madrid): Spanish/English customer copilots, churn models, and network anomaly detection.

About Telefónica

HQ campus in northern Madrid; AI hub for Spain and LATAM.
Aura platform serves millions of customer conversations.
Strong focus on responsible AI and EU AI Act readiness.

What you will do

Extend Aura with RAG over product and troubleshooting corpora.
Build offline evals for hallucination in billing contexts.
Partner with legal on data retention and consent flows.

Stack & environment

Python, LangChain, PyTorch, Kubernetes, on-prem + cloud hybrid.
Hybrid Madrid; Spanish and English required.

What we look for

5+ years applied NLP/LLM in enterprise or telecom.
Eligible to work in Spain.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
PyTorch

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Spanish/English LLM assistants for customer care with privacy controls.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, SQL, and Kubernetes.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Madrid, Spain)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Spanish/English LLM assistants for customer care with privacy controls.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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