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T-
SR - Biology / Environmental Systems and Societies (ESS) Teacher - Enseignant(e) de biologie / Systèmes environnementaux et sociétés
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…are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or…
Added 36 mins ago
C
Senior Software Engineer - Integrations - AI/ML
ClickHouse
Remote, Canada
- $147,000 to $238,000 USD / year
- Full-time
- Remote
…monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams,…
Added 36 mins ago
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Added 51 mins ago
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ClickHouse

Senior Software Engineer - Integrations - AI/ML

Remote, Canada

Remote

$147,000 to $238,000 USD / year · Full-time

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Job details

Pay: $147,000 to $238,000 USD / year
Job type: Full-time
Workplace: Remote
Remote eligibility: Canada listed. Check the posting for province restrictions.
Experience: 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
Posting language: English
Posted: Jul 9, 2026

Original job description

The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications.

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer
Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production
Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
Solid experience with concurrent Python: threading, multiprocessing, and async patterns
Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
Familiarity with ClickHouse or similar high-performance OLAP platforms
Familiarity with the JVM ecosystem
Experience deploying AI/ML models in production, including inference APIs and vector databases
Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus

Perks

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 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 USD$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.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see here for our Privacy Statement.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

You will own and evolve the Python connector and SDK ecosystem while driving the AI/LLM integration strategy for ClickHouse. This involves collaborating with the open-source community and internal teams to build production-ready connectors for RAG architectures and ML feature pipelines.

Requirements

The role requires 7+ years of software development experience with hands-on expertise as a Data Scientist or ML Engineer. Candidates must have deep experience building production-grade Python connectors and a strong foundation in database fundamentals and the Python data ecosystem.

Skills

Python
Data engineering
Machine learning
SQL
Data modeling
Query optimization
OLAP
Vector search
RAG
LLM
Pandas
NumPy
Pydantic
SDK development
API design
Concurrent programming

Benefits

Healthcare
Equity
Flexible time off
Home office setup allowance
Global gatherings

Remote locations

Canada
United States

Remote locations (standardized)

Canada
United States

Visa sponsorship

Not detected in the job text

Keywords

ClickHouse
Python
Data Science
Machine Learning
AI
LLM
RAG
Vector Database
SQL
OLAP
SDK
API
Pandas
NumPy
Pydantic
Data Engineering
Feature Stores
Integration
Open Source
Distributed Systems
Cloud
Data Modeling
Query Optimization
Async
Multiprocessing

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Work requirements

Jobs in Canada