Role Description The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. What you will do - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. Qualifications - 5+ years of software engineering experience in production environments. - Exposure to working directly with AI/ML technologies. - Backend development experience in TypeScript or Python, with a focus on API design and service architecture. - A high level of ownership and can drive features from concept to production with minimal supervision. - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders. - Backend development experience in one of Python, Go, or TypeScript, with a focus on API design and service architecture. Requirements - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases. - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment. - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus. Benefits - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly, currently operating in over 20 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A $500 Home office setup if you’re a remote employee. - Global Gatherings - Opportunities to engage with colleagues at company-wide offsites. - Culture - As part of a rapidly scaling startup, you will be instrumental in shaping our culture.

• Desarrollo backend de componentes complejos con Java y Spring Boot • Diseño e implementación de microservicios resilientes • Pruebas de integración, rendimiento y calidad de software • Virtualización y despliegue mediante contenedores Docker

• Design, develop, test and maintain core C++ platform components used across Vay • Build and improve system level tooling for health management, telemetry and incident handling • Own performance profiling and optimization across vehicle and remote driving compute • Contribute to the evaluation and selection of compute hardware for vehicles and remote driving stations • Improve and extend hardware in the loop test setups to accelerate feedback cycles • Support the production fleet in Berlin and Las Vegas on a scheduled basis • Collaborate closely with autonomy, systems and fleet teams to ensure safe and scalable deployments

• While your primary focus will be on ClickHouse, your daily priorities will be shaped by our product goals. • Your day might involve tackling critical ClickHouse bugs that impact our customers or developing exciting new features. • You'll also collaborate with team members to find optimal solutions for various ClickHouse challenges. • We engage in daily discussions about the product, balancing immediate challenges with long-term vision.