Senior Software Engineer (backend) - Ai/ml

ClickHouse ClickHouse · Data AI · EMEA · Engineering

Senior Software Engineer (Backend) on the AI/ML Engineering team responsible for building and operating ClickHouse's AI and machine learning products end-to-end, including Agentic Data Stack, AI Functions, chDB, and in-Console copilot. Focus on feature development, API architecture for inference systems, ecosystem integrations, production model deployment with monitoring and evaluation, and developer experience tools.

What you'd actually do

  1. Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
  2. Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
  3. 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.
  4. Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
  5. Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • production environments
  • AI/ML technologies
  • API design and service architecture
  • ownership
  • leverage ClickHouse’s AI/ML capabilities

Other signals

  • building and operating AI/ML products end-to-end
  • designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists
  • integrating models into production systems with proper monitoring, versioning, observability, and evaluation