Rust Backend Engineer AI Platform

We are looking for a talented and ambitious Rust Backend Engineer to help design and build the core infrastructure for our cloud-based AI deployment this role you will develop the scalable high-performance backend services that power the deployment orchestration and serving of AI models at scale enabling cutting-edge AI applications to move seamlessly from development to production.

Key Responsibilities:

• Design build and maintain cloud-native backend services in Rust that support AI model deployment inference lifecycle management and monitoring.
• Develop robust APIs and orchestration components to manage deployment workflows.
• Architect low-latency high-throughput inference services optimized for real-time AI applications running in the cloud.
• Integrate backend systems with model registries data processing pipelines and monitoring tools to provide a seamless end-to-end AI lifecycle.
• Collaborate closely with AI researchers DevOps and hardware teams to co-design scalable deployment pipelines tailored for cloud environments.
• Implement observability and telemetry systems to monitor model performance availability and cost efficiency.
• Work with both SQL and NoSQL databases to manage model metadata logs and large-scale inference results.
• Deploy scale and operate workloads on Kubernetes ensuring high reliability elasticity and performance across cloud environments.
• Continuously evaluate and adopt new technologies in Rust backend systems and AI infrastructure to keep the platform state-of-the-art.

Qualifications:

• BSc or MSc in Computer Science Software Engineering or a related field.
• 5 years of proven experience in backend development ideally building platforms distributed systems or AI/ML infrastructure.
• Strong proficiency in Rust with experience building production-grade services.
• Experience developing backend services in Python is a strong plus.
• Solid understanding of API design microservices architecture distributed systems and event-driven backends.
• Hands-on experience with databases (SQL and NoSQL) and scalable data storage solutions.
• Familiarity with cloud platforms (AWS GCP or Azure) and infrastructure-as-code practices.
• Experience with Kubernetes and container orchestration in production cloud environments is a strong plus.
• Experience building CI/CD pipelines for ML models or integrating with MLOps platforms (e.g. MLflow Seldon Kubeflow) is a plus.
• Knowledge of AI model deployment workflows and integrating inference systems with backend services is plus.
• Experience in a hardware/software co-design environment is a plus.
• Fluent in English; additional European languages (German Dutch Spanish French or Italian) are a plus.

Soft Skills:

• Self-driven and capable of working independently as well as within a highly collaborative team.
• Excellent system design and problem-solving skills with a focus on reliability scalability and maintainability.
• Strong communication and collaboration skills across multidisciplinary teams.
• Eager to mentor junior engineers and contribute to a culture of technical excellence and learning.

What We Offer

• The opportunity to build a cloud AI deployment platform that will power next generation AI systems.
• A collaborative innovation-driven environment with significant autonomy and ownership.
• Hybrid work model with flexible scheduling.
• A chance to join one of Europes most ambitious companies at the intersection of AI and silicon engineering.
• Position based in Barcelona Spain.

Were looking for exceptional engineers ready to shape the future of AI infrastructure. If building scalable cloud-native AI deployment platforms excites you wed love to meet you.

At Openchip & Software Technologies S.L. we believe a diverse and inclusive team is the key to groundbreaking ideas. We foster a work environment where everyone feels valued respected and empowered to reach their full potentialregardless of race gender ethnicity sexual orientation or gender identity.