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.