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

• Build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth for model quality.

• Systematize and automate expert review workflows that are currently done manually.

• Develop AI personas that simulate B2B buying committees and behavioral effects using usage data and call transcripts.

• Automate persona training pipelines that are today managed by hand.

• Own LLM routing across providers (Anthropic, Google, and others) with explicit cost, latency, and quality tradeoffs.

• Maintain infrastructure and data residency boundaries, such as ensuring EU model calls remain within the EU.

• Extend the MCP server used by LLM agents so that features are agent-driven, not just UI-driven.

• Work within a typed ontology of pricing entities to keep model outputs structured and auditable.

• Identify and remediate systemic latency, data drift, and cold-start issues in the pricing loop.

What We're Looking For

• 8 or more years of engineering experience with strong, recent, production-grade LLM depth.

• Proven track record shipping and owning LLM-powered product features end-to-end, from development through production monitoring.

• Hands-on experience building eval harnesses and observability for LLM systems, including baselining prompts against a typed ontology for release gating.

• Experience owning LLM infrastructure and routing across multiple models with explicit cost, latency, and quality tradeoffs.

• Comfort working with structured data models and typed ontologies (for example, Pydantic models for pricing entities) to ensure auditable outputs.

• Familiarity with MCP or building tools for LLM agents, and platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter.

• Experience operating under data residency, SOC2, and GDPR constraints, ideally in pricing, billing, or payments domains.

• Strong ability to communicate about non-deterministic systems clearly to clients and non-technical stakeholders.

• 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.