Senior Software Engineer – Integrations, AI/ML

🔥 7 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 15%

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ClickHouse

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2021

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $400M Series D on 2026-01

SaaS • Enterprise • Artificial Intelligence

ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.

📋 Description

• Own and evolve ClickHouse's Python connector and SDK ecosystem, improving performance, reliability, and API design • Drive the AI/LLM integration strategy for RAG architectures, ML feature pipelines, and LLM-powered data applications • Design connectors and patterns for the AI and LLM ecosystem, including LangChain, LlamaIndex, and n8n • Engage with the open-source community by triaging issues, supporting contributors, advocating for users, and shaping the roadmap • Collaborate with Product, Cloud, and other engineering teams to align integration work with platform priorities • Bring Data Engineer and Data Scientist workflow insights to roadmap and prioritization decisions

🎯 Requirements

• 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 • Hands-on experience applying AI/ML in production data-engineering contexts, including embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production • Solid experience with the Python data ecosystem, including 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, including threading, multiprocessing, and async patterns • Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities • 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 dbt, Airflow, Dagster, or Prefect is a plus

🏖️ Benefits

• Flexible work environment and remote-friendly work arrangement • Employer contributions towards healthcare • Stock options/equity in the company • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites

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