Senior Software Engineer - Integrations - AI/ML

ClickHouse
Israel
Full timeFunction: Software EngineeringExperience: 7+ yearsSkills: ["Communication","Collaboration","Problem-solving"]

Build and evolve ClickHouse integrations that power AI/ML workflows, owning critical parts of the AI ecosystem. You’ll design production-grade Python connectors and SDKs, drive architecture and performance for RAG and vector-store use cases, and collaborate with Product, Cloud, and other engineering teams. Engage with the open-source community by triaging issues, supporting contributors, and shaping the roadmap based on real user feedback.

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FursaFursa
ClickHouse
ClickHouse
2 months ago

Senior Software Engineer - Integrations - AI/ML

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 1 day ago

Job Summary

Build and evolve ClickHouse integrations that power AI/ML workflows, owning critical parts of the AI ecosystem. You’ll design production-grade Python connectors and SDKs, drive architecture and performance for RAG and vector-store use cases, and collaborate with Product, Cloud, and other engineering teams. Engage with the open-source community by triaging issues, supporting contributors, and shaping the roadmap based on real user feedback.
Location: Israel
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own and evolve ClickHouse’s Python connector and SDK ecosystem, improving performance, reliability, and API design.
  • •Drive AI/LLM integration strategy by designing connectors and patterns for RAG architectures, ML feature pipelines, and LLM-powered data applications.
  • •Lead architecture, performance, and feature direction across the AI & LLM ecosystem integrations.
  • •Engage with the open-source community: triage issues, support contributors, and shape the roadmap based on feedback.
  • •Collaborate with Product, Cloud, and engineering teams to align integration work with broader platform priorities.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceEquityFlexible TimeHome Office

Key Requirements

  • •7+ years of software development experience, including hands-on work as a Data Scientist or ML Engineer.
  • •Hands-on experience designing, building, and maintaining production-grade Python connectors/SDKs/integrations for a major platform (orchestration, BI, MLOps, or data transformation).
  • •Hands-on AI/ML experience in production data-engineering contexts such as embedding generation, vector search, feature pipelines, or LLM-powered tooling shipped in production.
  • •Strong Python data ecosystem experience: Pandas, NumPy, Pydantic, and related libraries.
  • •Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases; plus concurrent Python (threading, multiprocessing, async).
Experience:7+ yearsAI/MLMLOpsData engineeringOpen-source
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonTableauPowerBISupersetMetabaseApache SparkFlinkKafka ConnectFivetranLangChainLlamaIndexN8nPandasNumPyPydanticSQLThreadingMultiprocessingAsyncRAG

Company Brief

ClickHouse
Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.
Industry: Data Infrastructure
Headquarters: Menlo Park, United States
Founded: 2016
WebsiteLinkedIn