AI Platform Engineer: Build & Optimize Scalable AI Infra

Peak3; Comunidad de Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Peak3 is seeking an AI Platform Engineer to build and operate the infrastructure that keeps our AI systems fast, reliable, and cost-efficient in production. You will work with vector databases, model gateways, and inference pipelines to enable scalable AI features.

You will own reliability in production, contribute to architecture decisions, and collaborate with the Principal AI Full-Stack Engineer. Strong fundamentals and a builder mindset matter most.

Formación

• Strong Python or TypeScript experience with backend infra.
• Experience with vector databases and embedding models.
• Familiarity with LLM inference optimization and observability tools.
• Willingness to grow into LangGraph/LlamaIndex or similar frameworks.
• Comfortable operating in production and owning reliability and performance.

Responsabilidades

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

Conocimientos

Python

TypeScript

Kubernetes

Cloud native

Vector databases

LLM inference

Observability

Reliability

LangGraph

Herramientas

LangGraph

LlamaIndex

Postgres

Descripción del empleo

Peak3 is seeking an AI Platform Engineer to build and operate the infrastructure that keeps our AI systems fast, reliable, and cost-efficient in production. You will work with vector databases, model gateways, and inference pipelines to enable scalable AI features.

You will own reliability in production, contribute to architecture decisions, and collaborate with the Principal AI Full-Stack Engineer. Strong fundamentals and a builder mindset matter most.