Senior Software Engineer; Backend - AI​/ML

Senior Software Engineer (Backend) - AI/ML

United States (remote)

Recognized on the 2025 Forbes Cloud 100 list, Click House is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, Click House leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We're on a mission to transform how companies use data. Come be a part of our journey!

The AI/ML Engineering team builds and operates Click House'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 Click House 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 Click House the platform of choice for agents and data scientists.

• Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the Click House Cloud platform.
• API Architecture: Create robust, scalable APIs that connect Click House'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 Click House 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 Click House's AI/ML capabilities.

• 5+ years of software engineering experience in production environments
• Exposure to working directly with AI/ML technologies
• Backend development experience in Type Script 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 Type Script, 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 Click House experience being a significant plus

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…