About the Role

This is a founding engineering role at an early-stage B2B SaaS pricing intelligence company, where you will own the evaluation systems, feedback loops, and LLM infrastructure that power AI-driven pricing recommendations. You will join a small, product-focused team shipping directly to customers, with work that ties model outputs to measurable revenue impact and compliance requirements in 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 handled manually.

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

• Automate persona training pipelines that today require manual effort.

• Own LLM routing across providers such as Anthropic and Google, with explicit cost, latency, and quality tradeoffs.

• Maintain infrastructure and data residency boundaries, ensuring regional model calls stay within the correct geography.

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

• 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 LLM depth.

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

• Direct experience building evals and observability for LLM systems, including creating eval harnesses and baselining prompts against typed ontologies for release gating.

• Hands-on experience with MCP or building tools for LLM agents, and familiarity with platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter.

• Experience with structured data models and typed schemas (for example, Pydantic) to ensure model outputs land in auditable form.

• Experience operating under data residency, SOC2, and GDPR constraints in domains where correctness is audited, such as pricing, billing, or payments.

• Strong communication skills to explain non-deterministic systems to clients and partners.

• Product-engineer instincts to scope and ship pragmatic solutions in a lean, fast-moving environment.

• 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 for this role.

Location

On-site in Amsterdam, North Holland, Netherlands.