About the Role
This is a founding engineering role at an early-stage B2B SaaS pricing platform, where you will own the evaluation systems, feedback loops, and LLM infrastructure that connect model outputs directly to revenue and compliance outcomes. You will join a small, product-focused team shipping to customers, and your work will sit at the intersection of AI reliability and high-stakes pricing decisions.
What You'll Do
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Build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth for model quality.
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Systematize and automate expert review workflows that are currently done manually.
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Develop AI personas that simulate B2B buying committees and behavioral effects using usage data and call transcripts.
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Automate persona training pipelines that are today managed by hand.
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Own LLM routing across providers (Anthropic, Google, and others) with explicit cost, latency, and quality tradeoffs.
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Maintain infrastructure and data residency boundaries, such as ensuring EU model calls remain within the EU.
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Extend the MCP server used by LLM agents so that features are agent-driven, not just UI-driven.
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Work within a typed ontology of pricing entities to keep model outputs 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 or more years of engineering experience with strong, recent, production-grade 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 owning LLM infrastructure and routing across multiple models with explicit cost, latency, and quality tradeoffs.
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Comfort working with structured data models and typed ontologies (for example, Pydantic models for pricing entities) to ensure auditable outputs.
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Familiarity with MCP or building tools for LLM agents, and platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter.
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Experience operating under data residency, SOC2, and GDPR constraints, ideally in pricing, billing, or payments domains.
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Strong ability to communicate about non-deterministic systems clearly to clients and non-technical stakeholders.
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Must be authorized to work in the United States. Visa sponsorship is not available.
Compensation & Benefits
Salary range: $225,000 to $255,000 USD annually. Visa sponsorship is not available.
Location
This role is on-site in Amsterdam, North Holland, Netherlands. Candidates must be based in Amsterdam or willing to relocate.
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