Senior Software Engineer - Integrations - AI/ML
ClickHouse · Remote · United States ·
COMPENSATION
$167k – $238k
Listed on the employer's job board (Ashby)
- Senior Software Engineer
- Fully remote (Global)
- Python + AI/ML
- Stock options included
- Healthcare contributions
Join the Connectors team to bridge ClickHouse with the broader data and AI ecosystem. You will own the lifecycle of key integrations, enabling developers and data scientists to use ClickHouse for vector search, feature stores, and LLM-powered applications.
This position requires a practitioner's perspective, combining software engineering with hands-on experience in data science or ML engineering. You will shape the roadmap based on real-world workflows and collaborate with open-source communities.
What you'll do
- Own and evolve the Python connector and SDK ecosystem for performance and reliability
- Design connectors and patterns for RAG architectures and ML feature pipelines
- Engage with the open-source community to triage issues and support contributors
- Collaborate with Product and Cloud teams to align integration work with platform priorities
- Apply practitioner insights to prioritize roadmap decisions for data workflows
What you'll need
- 7+ years of software development experience including time as a Data Scientist or ML Engineer
- Proven experience building production-grade Python connectors, SDKs, or integrations
- Hands-on experience with AI/ML in production contexts like vector search or embedding generation
- Solid knowledge of the Python data ecosystem including Pandas, NumPy, and Pydantic
- Strong database fundamentals with SQL, data modeling, and OLAP familiarity
- Experience with concurrent Python patterns such as threading, multiprocessing, and async
- Outstanding written and verbal communication skills for cross-functional collaboration
Nice to have
- Prior experience as a Data Engineer or Data Scientist in a product-facing role
- Familiarity with ClickHouse or similar high-performance OLAP platforms
- Knowledge of the JVM ecosystem
- Experience deploying AI/ML models in production including inference APIs
- Familiarity with tools like dbt, Airflow, Dagster, or Prefect
Stack
- Python
- Pandas
- NumPy
- Pydantic
- SQL
- LangChain
- LlamaIndex
- ClickHouse
How you'll work
- Fully remote position within a globally distributed company
- Operations span over 25 countries worldwide
- Flexible work environment supporting remote employees
What you get
- Employer contributions towards healthcare costs
- Stock options granted to every new team member
- Flexible time off in the US and generous entitlements elsewhere
- $500 USD allowance for home office setup
- Opportunities for in-person connection at global company offsites