Level

ClickHouse

Senior Software Engineer (Backend) - AI/ML

AI in this role

Builds backend AI/ML inference services, APIs, and developer tools for ClickHouse's AI ecosystem.

copilottypescriptpythonawsgcpazure

About the team

The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. 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.

What you will bring along

  • 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

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

#LI-Remote

Perks

  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.

  • Healthcare - Employer contributions towards your healthcare.

  • Equity in the company - Every new team member who joins our company receives stock options.

  • Time off - Flexible time off in the US, generous entitlement in other countries.

  • A USD$500 Home office setup if you’re a remote employee.

  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.

How we rate this

Senior Software Engineer (Backend) - AI/ML at ClickHouse rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

CopilotTypescriptPythonAWSGCPAzure

Questions you could be asked

  1. What's a project where you used Copilot hands-on?
  2. Walk me through how you've used Typescript in your day-to-day work.
  3. What are the limits of Python that you've run into, and how did you work around them?
  4. What's a project where you used AWS hands-on?
  5. Walk me through how you've used GCP in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Copilot, Typescript, Python, AWS, and GCP. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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