About the Role
This is a founding engineering role at an early-stage B2B SaaS pricing intelligence company, where you'll own the evaluation systems, feedback loops, and LLM infrastructure that connect model outputs directly to revenue and compliance outcomes. You'll join a small, product-focused team shipping to real customers — with meaningful influence over the technical direction of the AI platform from day one.
What You'll Do
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Build eval harnesses and benchmarks using tracked pricing outcomes as ground truth for model quality.
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Systematize and automate expert review workflows that are currently handled manually.
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Develop AI personas that simulate B2B buying committees using usage data and call transcripts.
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Automate persona training pipelines and reduce reliance on manual processes.
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Own LLM routing across multiple providers with explicit cost, latency, and quality tradeoffs.
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Maintain infrastructure and data residency boundaries (e.g., keeping EU model calls within the EU).
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Extend the MCP server used by LLM agents so that features are agent-driven, not just UI-rendered.
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Work within a typed ontology of pricing entities to ensure model outputs are structured and auditable.
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Identify and remediate systemic latency, data drift, and cold-start issues in the pricing loop.
What We're Looking For
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8+ years of engineering experience with strong, recent production LLM depth.
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Proven track record shipping and owning LLM-powered product features end-to-end — from development through production monitoring.
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Hands-on experience building eval harnesses and observability for LLM systems, including baselining prompts against a typed ontology for release gating.
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Experience with MCP or building tools for LLM agents; familiarity with platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter is a plus.
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Experience with structured data models and typed ontologies (e.g., Pydantic) to land model outputs in auditable, structured form.
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Background operating under data residency, SOC2, and GDPR constraints — ideally in pricing, billing, or payments domains where accuracy is audited.
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Strong communication skills to explain non-deterministic systems to clients, pricing experts, and non-technical stakeholders.
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Comfortable with ambiguity and high ownership in a lean, fast-moving startup environment.
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Must be authorized to work in the United States; visa sponsorship is not available.
Compensation & Benefits
Salary range: $225,000 – $255,000 USD annually. Visa sponsorship is not available.
Location
On-site in Amsterdam, Netherlands.
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