This is a high-impact engineering role focused on building the foundational systems that power AI and machine learning across an entire organization. Rather than focusing on a single application, you will create shared capabilities used across multiple engineering and product teams. 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 4+ years of software engineering experience,



including work on production systems ~ 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 ~ Familiarity with or willingness to work with TypeScript and Python in backend and platform contexts ~ Comprehensive healthcare coverage (medical, dental, and vision) ~ Versátil working arrangements with a remote-first or hybrid-friendly culture ~ Learning and development budget to support continuous growth ~ Home office stipend and equipment support ~

📌 Applied AI Engineer (Andalucía)
🏢 Jobgether
📍 Andalucía