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
• 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

#LI-remote

The typical starting salary for this role in the US is

$141,000-$195,000 USD

The typical starting salary for this role in US Premium Markets is

$158,000-$232,000 USD

Compensation

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at [redacted].
Perks

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 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 $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.