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 ideal 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 developer tooling used by engineering teams

Strong understanding of the end-to-end ML/LLM lifecycle, including deployment and production operations

Solid engineering fundamentals with the ability to balance trade-offs across reliability, scalability, latency, cost, and maintainability

Strong collaboration and communication skills, with a team-oriented mindset

Familiarity with or willingness to work with TypeScript and Python in backend and platform contexts

Benefits

Competitive compensation package including base salary, variable pay, and equity

Comprehensive healthcare coverage (medical, dental, and vision)

Adaptable working arrangements with a remote-first or hybrid-friendly culture

Unlimited paid time off and generous parental leave policies

Learning and development budget to support continuous growth





Home office stipend and equipment support

Mental health and wellness resources

Opportunity to work on cutting-edge AI infrastructure used at scale

How Jobgether works

We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Applied Ai Engineer (Málaga)
🏢 Jobgether
📍 Málaga