Senior Software Engineer (Backend) - AI/ML

📍 United States

USD 141,000-232,000 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API @ 4 AWS @ 3 Azure @ 3 ClickHouse @ 4 GCP @ 3 Go @ 4 Machine Learning Observability Python @ 4 TypeScript @ 4 Vector Databases @ 4

Details

The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and AI/ML partnerships. The team develops shared components and expertise that enable ClickHouse teams to ship AI capabilities across their products.

Responsibilities

Design and implement AI-powered features across the full stack, from backend inference services to frontend interfaces within the ClickHouse Cloud platform.
Create robust, scalable APIs connecting ClickHouse database capabilities with modern AI/ML inference systems and external and internal AI services.
Implement and maintain integrations with the broader AI/ML ecosystem and relevant standards.
Integrate models into production systems with monitoring, versioning, observability, and evaluation.
Participate in the daytime on-call rotation.
Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse's AI/ML capabilities.

Requirements

5+ years of software engineering experience in production environments.
Exposure to working directly with AI/ML technologies.
Backend development experience in Python, Go, or TypeScript, with a focus on API design and service architecture.
High level of ownership and ability to drive features from concept to production with minimal supervision.
Ability to thrive in collaborative environments and communicate technical concepts effectively 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.
ClickHouse experience.

Benefits

Flexible work environment at a globally distributed, remote-friendly company.
Employer contributions toward healthcare.
Stock options for new team members.
Flexible time off in the United States and generous entitlement in other countries.
$500 home office setup for remote employees.
Opportunities to engage with colleagues at company-wide offsites.
Equal employment opportunities and protection from discrimination and harassment.