147K–238K USD / year

Senior Software Engineer (Backend) - AI/ML

BackendRemote — United States
Published on 2026-07-13
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build and operate AI and machine learning products that connect ClickHouse with AI inference systems and tools. The role spans backend services, APIs, integrations, and user-facing features, with responsibility for taking work from concept through production.

About the company

ClickHouse is a high-performance columnar database built for real-time analytics on large volumes of data.

The team

AI/ML Engineering team

Stack

ClickHouseTypeScriptPythonGoAWSAzureGCPVector databases

What you'll do

  • Build AI-powered features across backend services and user interfaces.
  • Design scalable APIs connecting ClickHouse with AI/ML inference systems and services.
  • Develop and maintain integrations with AI/ML frameworks and tools.
  • Integrate production models with monitoring, versioning, observability, and evaluation.
  • Build developer tools, SDKs, documentation, and intuitive interfaces.
  • Participate in the daytime on-call rotation.

What we're looking for

  • At least 5 years of software engineering experience in production environments.
  • Exposure to AI/ML technologies.
  • Backend experience in TypeScript, Python, or Go, focused on API design and service architecture.
  • Ability to own and deliver features from concept to production with minimal supervision.
  • Strong collaboration and communication skills.

Nice to have

  • Experience deploying AI/ML models in production, including inference APIs and vector databases.
  • Familiarity with cloud services for AI/ML deployment.
  • Knowledge of database systems and data processing pipelines; ClickHouse experience is a plus.

Benefits

  • Company stock options.
  • Flexible time off in the United States.
  • $500 home-office setup allowance for remote employees.
  • Employer contributions toward healthcare.
  • Company-wide gatherings and offsites.
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