Senior Software Engineer (Backend) - AI/ML

ClickHouse · Remote · Germany ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote
  • Python or TypeScript
  • AI/ML focus
  • Stock options

Join the AI/ML Engineering team at ClickHouse to build end-to-end AI products, including AI Functions and chDB. You will design backend inference services, create scalable APIs, and integrate these capabilities into the ClickHouse Cloud platform.

What you'll do

  • Design and implement AI-powered features across the full stack
  • Create robust APIs connecting database capabilities with AI inference systems
  • Maintain integrations with broader AI/ML ecosystem and standards
  • Integrate models into production with monitoring and observability
  • Participate in daytime on-call rotation
  • Build developer tools, SDKs, and documentation for AI/ML capabilities

What you'll need

  • 5+ years of software engineering experience in production
  • Exposure to working directly with AI/ML technologies
  • Backend development experience in TypeScript or Python
  • Strong focus on API design and service architecture
  • Ability to drive features from concept to production independently
  • Effective communication skills for diverse stakeholders

Nice to have

  • Experience deploying AI/ML models and working with vector databases
  • Familiarity with AWS, Azure, or GCP AI/ML services
  • Understanding of database systems and data processing pipelines
  • Prior experience with ClickHouse

Stack

  • TypeScript
  • Python
  • ClickHouse
  • AWS
  • Azure
  • GCP

How you'll work

  • Fully remote position
  • Global company operating in over 25 countries
  • Daytime on-call rotation required

What you get

  • Employer contributions towards healthcare
  • Stock options for every new team member
  • Flexible time off in the US
  • Generous leave entitlement in other countries
  • $500 USD home office setup budget
  • Opportunities for global company-wide offsites