Job Description

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 platform. In 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 Europe’s most ambitious companies at the intersection of AI and silicon engineering.

• Position based in Barcelona, Spain.

We’re looking for exceptional engineers ready to shape the future of AI infrastructure. If building scalable, cloud-native AI deployment platforms excites you, we’d 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 potential—regardless of race, gender, ethnicity, sexual orientation, or gender identity.