This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied AI Engineer based in Spain.

This is a high-impact engineering role focused on building the foundational systems that power AI and machine learning across an entire organization. You will work at the intersection of platform engineering and applied AI, designing the infrastructure that enables teams to build, deploy, and operate LLM and ML-powered products at scale. Your work will shape how AI systems are accessed, monitored, evaluated, and governed in production environments. Rather than focusing on a single application, you will create shared capabilities used across multiple engineering and product teams. The environment is fast-moving, highly collaborative, and deeply technical, with a strong emphasis on reliability, scalability, and developer experience. This role is idóneo for engineers who enjoy solving complex systems problems and enabling others to build better AI products.

Accountabilities:





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

Requirements:

4+ years of software engineering experience, including work on production systems

At least 1 year of experience in ML Ops, LLM Ops, or AI/ML infrastructure-related roles

Experience building backend systems, internal platforms, or develope

📌 Applied Ai Engineer (Madrid)
🏢 Jobgether
📍 Madrid