Founding AI Engineer

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.