AI Platform Engineer: Scalable LLM Infra

Peak3 (formerly ZA Tech); Madrid; Presencial; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Peak3 is an award-winning vertical SaaS provider enabling more relevant, convenient, and affordable insurance protection through technology. As an AI Platform Engineer, you’ll build and operate the infrastructure that keeps agentic AI systems fast, reliable, and cost-efficient in production.

You’ll work with the Principal AI Full-Stack Engineer to shape architecture, implement inference pipelines, and improve observability while owning reliability and performance in a production environment.

Formación

• Solid experience in Python or TypeScript with cloud-native deployment (K8s or serverless).
• Hands-on with vector databases, embedding models, and model deployment/serving patterns.
• Familiarity with LLM inference optimization, caching, and observability tooling.
• Familiarity with RAG pipelines, function/tool calling, or agent frameworks (LangGraph, LlamaIndex).
• Comfortable operating in production and taking ownership of reliability and performance.

Responsabilidades

• Build and maintain core AI infrastructure: vector databases, semantic retrieval, model gateways, and inference pipelines.
• Implement inference optimization and caching to keep latency and cost within target.
• Set up and maintain observability for LLM systems — logging, tracing, evals monitoring, cost tracking.
• Support production incidents and on-call for AI systems, including runbooks and postmortems.
• Collaborate with the Principal AI Full-Stack Engineer to implement architecture decisions and contribute to full-stack features.

Conocimientos

Python

TypeScript

Kubernetes

Serverless

Observability

LLM inference

RAG pipelines

LangGraph

LlamaIndex

Herramientas

Vector databases

Embedding models

Model deployment

PostgreSQL

Descripción del empleo

Peak3 is an award-winning vertical SaaS provider enabling more relevant, convenient, and affordable insurance protection through technology. As an AI Platform Engineer, you’ll build and operate the infrastructure that keeps agentic AI systems fast, reliable, and cost-efficient in production.

You’ll work with the Principal AI Full-Stack Engineer to shape architecture, implement inference pipelines, and improve observability while owning reliability and performance in a production environment.