AI Platform Engineer for LLM/MLOps

Jobgether; Málaga; Híbrido; EUR 60.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare coverage

Remote-first / Hybrid-friendly culture

Unlimited PTO

Parental leave

Descripción de la vacante

Jobgether seeks an Applied AI Engineer based in Spain to build foundational AI infrastructure and platform services. You’ll enable teams to deploy and govern LLM/ML-powered products at scale, with a focus on reliability, scalability, and developer experience.

The role blends platform engineering with applied AI, requiring collaboration with product, infrastructure, and data teams to ensure reusable AI development practices and efficient production workflows.

Formación

• 4+ years of software engineering experience including production systems.
• At least 1 year of ML Ops, LLM Ops, or AI/ML infrastructure-related roles.
• Experience building backend systems, internal platforms, or developer tooling used by engineering teams.
• Strong understanding of the end-to-end ML/LLM lifecycle and production operations.

Responsabilidades

• Build and enhance platform services such as LLM routing/proxy systems, internal APIs, and reusable AI/ML tooling.
• Develop and improve LLM and ML operations capabilities, including observability, monitoring, evaluation, and deployment workflows.
• Support the full lifecycle of AI systems, including testing, scaling, optimization, and production reliability.
• Collaborate with product, infrastructure, and data teams to ensure consistent and reusable AI development practices.
• Contribute to system design decisions that improve performance, cost efficiency, safety, and latency of AI services.
• Evaluate and integrate emerging AI models, frameworks, and tools into shared platform capabilities.

Conocimientos

Backend systems

ML Ops

LLM Ops

Python

TypeScript

Collaboration

Herramientas

TypeScript

Python

Descripción del empleo

Jobgether seeks an Applied AI Engineer based in Spain to build foundational AI infrastructure and platform services. You’ll enable teams to deploy and govern LLM/ML-powered products at scale, with a focus on reliability, scalability, and developer experience.

The role blends platform engineering with applied AI, requiring collaboration with product, infrastructure, and data teams to ensure reusable AI development practices and efficient production workflows.