Senior Software Engineer - Integrations - AI/ML

clickhousesenior

In short

→Desarrollar e integrar conectores Python de alta calidad para ClickHouse, especialmente para IA/ML
→Trabajar en soluciones de integración con herramientas como Airflow, dbt, Kafka Connect y plataformas de IA
→Destacar por liderar la estrategia de integraciones con LLMs y arquitecturas RAG en entornos reales

Fluent written and verbal communication in English

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What they ask for

✓7+ años de experiencia en desarrollo de software con foco en ingeniería de datos
✓Experiencia comprobada con conectores o SDKs en Python para plataformas clave
✓Experiencia en IA/ML en contexto productivo (embedding, vector search, pipelines)
✓Conocimiento sólido del ecosistema Python: Pandas, NumPy, Pydantic
✓Fundamentos sólidos en bases de datos OLAP, SQL y optimización de consultas
✓Experiencia en programación concurrente: threading, multiprocessing, async

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonPandasNumPyPydanticApache AirflowDagsterPrefectdbtKafka ConnectApache Spark

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About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! The Connectors team is the bridge between ClickHouse and the broader data 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 ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining 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. What you'll do • Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design • Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards • 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 Engineer, 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 e 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 wor

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