Senior Software Engineer - Integrations - AI/ML

ClickHouse · Remote · Spain ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote global
  • Python + AI/ML
  • Equity included
  • Healthcare support

Join the Connectors team to bridge ClickHouse with the broader data ecosystem. You will own the Python connector and SDK, designing patterns for RAG architectures, ML feature pipelines, and LLM-powered applications.

This position requires deep experience in production AI/ML contexts and open-source community engagement. You will collaborate with internal teams to ensure integrations meet high standards for performance and developer experience.

What you'll do

  • Own and evolve the Python connector and SDK ecosystem for performance and reliability
  • Design connectors for RAG architectures, ML feature pipelines, and LLM applications
  • Build integrations with orchestration platforms like Airflow, Dagster, and Prefect
  • Engage with the open-source community to triage issues and shape the roadmap
  • Collaborate with Product and Cloud teams to align integration work with priorities
  • Apply practitioner insights to prioritize features based on real-world workflows

What you'll need

  • 7+ years of software development experience including Data Science or ML Engineering
  • Proven experience building production-grade Python connectors or SDKs
  • Hands-on experience with AI/ML in production, such as vector search or embeddings
  • Strong skills in Python data ecosystem libraries like Pandas, NumPy, and Pydantic
  • Solid database fundamentals including SQL, data modeling, and OLAP familiarity
  • Experience with concurrent Python patterns including threading and async
  • Outstanding communication skills for cross-functional and community collaboration

Nice to have

  • Prior experience as a Data Engineer or Data Scientist in a platform role
  • Familiarity with ClickHouse or similar high-performance OLAP platforms
  • Knowledge of the JVM ecosystem
  • Experience deploying AI/ML models and inference APIs in production
  • Familiarity with dbt, Airflow, Dagster, or Prefect

Stack

  • Python
  • Pandas
  • NumPy
  • Pydantic
  • SQL
  • ClickHouse
  • LangChain
  • LlamaIndex
  • Airflow
  • Dagster
  • Prefect
  • dbt

How you'll work

  • Fully remote position within a globally distributed company
  • Operations span over 25 countries worldwide
  • Flexible time off policy depending on location

What you get

  • Employer contributions towards healthcare costs
  • Stock options provided to every new team member
  • USD 500 allowance for home office setup
  • Opportunities for in-person connection at global gatherings