Senior Software Engineer (typescript / Frontend) - Ai/ml

ClickHouse ClickHouse · Data AI · EMEA · Engineering

Senior Software Engineer to drive the development of AI/ML-powered features in ClickHouse Cloud, bridging high-performance database technology with AI capabilities. This role involves implementing AI/ML integrations and end-to-end solutions from the Inference API layer to the user interface.

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. Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
  4. 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.
  5. Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.

Skills

Required

  • 5+ years of software engineering experience in production environments
  • Strong frontend skills with TypeScript/JavaScript and React
  • Backend development experience in TypeScript or Python, with a focus on API design and service architecture
  • High level of ownership and ability to drive features from concept to production with minimal supervision
  • Collaborative environment and effective communication of technical concepts

Nice to have

  • Experience building data-oriented interfaces and visualizations
  • 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
  • drive features from concept to production with minimal supervision

Other signals

  • AI-powered features
  • Inference API layer to user interface
  • end-to-end solutions