# Senior Software Engineer - AI/ML

**Company:** [Clickhouse](https://hotfix.jobs/companies/clickhouse)
**Location:** Remote
**Role:** Backend Engineering
**Experience:** 5+ years
**Skills:** TypeScript, Python, Go, API Design, Service Architecture, AI/ML, Inference Apis, Vector Databases, AWS, Azure, GCP, Observability, Database Systems, Data Processing Pipelines
**Posted:** 2026-06-01

> Build and operate AI/ML-powered features, APIs, integrations, and developer tools for ClickHouse Cloud. The role requires 5+ years of production software engineering experience and backend expertise in Python, Go, or TypeScript.

## Job Description

## Responsibilities
- Design and implement AI-powered features across the full stack, including backend inference services and frontend interfaces in ClickHouse Cloud.
- Create robust, scalable APIs connecting ClickHouse database capabilities with AI/ML inference systems and internal or external AI services.
- Build and maintain integrations with the broader AI/ML ecosystem, standards, frameworks, and tools.
- Integrate models into production systems with monitoring, versioning, observability, and evaluation.
- Participate in the daytime on-call rotation.
- Develop developer tools, SDKs, and documentation for ClickHouse AI/ML capabilities.
- Drive features from concept through production with minimal supervision.

## Requirements
- 5+ years of software engineering experience in production environments.
- Experience working directly with AI/ML technologies.
- Backend development experience using Python, Go, or TypeScript, focused on API design and service architecture.
- Strong ownership and ability to work effectively in collaborative environments.
- Ability to communicate technical concepts to diverse stakeholders.

## Nice to Have
- Experience integrating and deploying AI/ML models in production, including inference APIs and vector databases.
- Familiarity with AWS, Azure, or Google Cloud, particularly AI/ML deployment services.
- Understanding of database systems and data processing pipelines.
- ClickHouse experience.

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