Langfuse Solutions Architect

New

Skills

AI monitoring ClickHouse cloud infrastructure data infrastructure distributed systems evaluation frameworks LLM observability Postgres prompt engineering token economics

We are seeking a Solutions Architect for Langfuse, who will lead technical evaluations of ClickHouse as an observability data store, from architecture to proof of concept (POC). This role involves engaging with data and ML engineers as well as platform architects to align LLM stacks with Langfuse capabilities.

Key Responsibilities
  • Lead technical evaluations for ClickHouse as an observability data store.
  • Engage data/ML engineers and platform architects to map LLM stacks to Langfuse capabilities.
  • Design and deliver reference implementations, schemas, and ingestion patterns for LLM trace data.
  • Collaborate with Account Executives to progress AI/Langfuse opportunities and close deals.
  • Serve as ClickHouse's primary technical voice in the Langfuse community.
Required Skills & Qualifications
  • Hands-on experience in LLM observability or AI monitoring.
  • Technical depth in the modern AI stack (prompt engineering, RAG, evaluation frameworks, token economics, data infrastructure).
  • Customer-facing experience in pre-sales, solutions engineering, developer advocacy, or technical account management.
  • Strong foundation in data infrastructure: analytical databases, distributed systems, cloud infrastructure; familiarity with ClickHouse or Postgres.
  • Comfortable with open source communities and contributor models.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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