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# Senior Software Engineer - Integrations - Ai/Ml

- **Company:** Clickhouse
- **Location:** Girona, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Databases, Data Transformation, Dataspaces, Python (Programming Language), Multiprocessing, Online Analytical Processing, NumPy, Open Source Technology, Operational Databases, Query Optimization, Standard Sql, Search Technologies, Software Engineering, Systems Integration, Large Language Models, Pandas, Machine Learning Operations, Vertica, Api Design
- **Published:** September 16, 2026
- **Apply:** https://www.buscojobs.com.es/senior-software-engineer-integrations-ai-ml-en-girona-ID-370608495

## About the Role

Compensaciones / Beneficios * Own and evolve ClickHouse's Python connector and SDK ecosystem with a focus on performance, reliability, and API design * Drive AI/LLM integration strategy for RAG architectures, ML feature pipelines, and LLM-powered data applications * Engage with the open-source community: triage issues, support contributors, advocate for users, influence roadmap * Collaborate with Product, Cloud, and engineering teams to align integrations with broader platform priorities * Bring practitioner perspective to roadmap decisions shaped by Data Engineer and Data Scientist workflows Responsabilidades * 7+ years of software development experience * Production-grade Python connectors/SDKs/Integrations experience for major platform (orchestration, BI, MLOps, or data transformation) * Hands-on AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling * Solid experience with Python data ecosystem: Pandas,
NumPy, Pydantic * Strong SQL, data modeling, query optimization, OLAP/analytical databases * Concurrent Python experience: threading, multiprocessing, async patterns * Excellent written and verbal communication; comfortable collaborating across engineering functions and open-source communities Requisitos principales * Flexible work environment * Healthcare - employer contributions * Equity in the company * Flexible time off * USD$500 home office setup * Global gatherings/offsites

## Description

Experteer Overview As a Senior Software Engineer, you own and evolve ClickHouse's AI u****amp; ML ecosystem, shaping production-grade Python connectors and SDKs.You'll drive AI/LLM integration strategy and build patterns for RAG pipelines, feature stores, and LLM-powered data apps.You'll work with open-source contributors and cross-functional teams to align integrations with platform priorities, delivering impactful, scalable tooling.This role sits at the intersection of database engineering and developer experience, enabling data practitioners to harness ClickHouse at speed and scale.Compensaciones / Beneficios * Own and evolve ClickHouse's Python connector and SDK ecosystem with a focus on performance, reliability, and API design * Drive AI/LLM integration strategy for RAG architectures, ML feature pipelines, and LLM-powered data applications * Engage with the open-source community: triage issues, support contributors, advocate for users, influence roadmap * Collaborate with Product, Cloud, and engineering teams to align integrations with broader platform priorities * Bring practitioner perspective to roadmap decisions shaped by Data Engineer and Data Scientist workflows Responsabilidades * 7+ years of software development experience * Production-grade Python connectors/SDKs/Integrations experience for major platform (orchestration, BI, MLOps, or data transformation) * Hands-on AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling * Solid experience with Python data ecosystem: Pandas, NumPy, Pydantic * Strong SQL, data modeling, query optimization, OLAP/analytical databases * Concurrent Python experience: threading, multiprocessing, async patterns * Excellent written and verbal communication; comfortable collaborating across engineering functions and open-source communities Requisitos principales * Flexible work environment * Healthcare - employer contributions * Equity in the company * Flexible time off * USD$500 home office setup * Global gatherings/offsites


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