> Markdown version of [/jobs/ext/2724414-backend-engineer](https://www.wearedevelopers.com/jobs/ext/2724414-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** Sowelo Consulting - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Profiling, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Node.Js, Open Source Technology, Software Engineering, AI Infrastructure, Data Logging, Large Language Models, Reliability of Systems, Backend, Kubernetes, Low Latency, Performance Monitor, Docker - **Published:** September 5, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + Proven background in core backend software engineering within production environments. ( Python, Node.js) + Infrastructure Experience with Docker, Kubernetes + Practical experience building and maintaining high-throughput, low-latency distributed microservices. + Solid understanding of modern AI inference patterns, including LLMs, vector embeddings, and multimodal architectures. + Hands-on experience debugging and profiling complex distributed systems operating under heavy load. + Familiarity with commercial AI APIs (e.g., OpenAI, Anthropic) as well as self-hosted open-source models. + Production-focused mindset with a strong bias toward shipping, observing live system behavior, and iterating quickly. ## Description Do you excel at solving complex backend challenges like streaming responses, intelligent batching, low-latency caching, and API optimization under heavy load? Are you looking for a high-impact backend role where system reliability, cost efficiency, and ultra-low latency directly drive the product experience? Great, then please read on as we have a role for you. Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting. As a Backend Engineer specializing in AI infrastructure, you will own the inference and orchestration layer that powers intelligent features across all client platforms. Operating at the intersection of machine learning models and end-user applications, you will build and run high-scale production systems where latency, reliability, correctness, and cost efficiency directly drive the user experience., + Build and operate scalable backend systems that serve AI-powered features in production. + Design high-performance inference pipelines, orchestration workflows, and clear service boundaries around ML models. + Own system health and observability, including performance monitoring, structured logging, alerting, and incident response. + Optimize system latency and throughput through intelligent caching strategies, request batching, and response streaming. + Collaborate with client and machine learning engineers to deliver stable, high-efficiency APIs for mobile and desktop applications. 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