Solutions Architect (AI Observability)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Solutions Architect (AI Observability): Designing and implementing technical architectures for LLM observability using the and Langfuse stack with an accent on trace data scaling and evaluation workflows. Focus on bridging the gap between raw data infrastructure and production LLM monitoring for AI engineering teams.
Location: Must be based in the United Kingdom, Germany, or Netherlands
Salary: $200,000 - $280,000 USD (US typical ranges provided)
Company
is a fast-growing cloud company leading the market in real-time analytics, data warehousing, and AI workloads.
What you will do
- Lead technical evaluations and POCs for AI engineering teams using as their observability data store.
- Design reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale.
- Source and qualify pipeline through ecosystem relationships and active community engagement.
- Act as the primary technical voice in the Langfuse community via GitHub, forums, and industry events.
- Create technical content, including blog posts, tutorials, and reference architectures to showcase the platform.
Requirements
- Hands-on experience in the LLM observability or AI monitoring space as a practitioner or vendor.
- Technical depth in prompt engineering, RAG architectures, evaluation frameworks, and token economics.
- Proven customer-facing experience in pre-sales, solutions engineering, or developer advocacy.
- Strong foundation in analytical databases, distributed systems, and cloud infrastructure.
- Must be based in the UK, Germany, or Netherlands.
Nice to have
- Familiarity with , Postgres, or other columnar databases.
- Experience contributing to open source communities.
Culture & Benefits
- Remote-friendly work environment in a globally distributed company.
- Employer contributions towards healthcare.
- Equity through stock options for every new team member.
- Flexible time off policies.
- $500 budget for home office setup for remote employees.
- Opportunities for in-person connection at company-wide offsites.
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