About the Role
This is a founding-level AI engineering role at a small, product-focused B2B SaaS pricing platform, sitting at the intersection of LLM infrastructure and high-stakes commercial decisions. You'll own the evaluation systems, feedback loops, and model infrastructure that tie AI-driven pricing recommendations directly to revenue and compliance outcomes. Your work will have immediate, measurable impact on customers from day one.
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 currently handled manually.
- Develop AI personas simulating B2B buying committees and behavioral effects using usage data and call transcripts.
- Automate persona training pipelines to replace today's manual processes.
- Own LLM routing across providers (Anthropic, Google, etc.) with explicit cost, latency, and quality tradeoffs.
- Maintain infrastructure and data residency boundaries, ensuring regional model calls comply with applicable regulations.
- Extend the MCP server used by LLM agents so that features are driven agent-first, not just UI-first.
- Work within a typed ontology of pricing entities to ensure model outputs are structured and auditable.
- Identify and remediate systemic latency, data drift, and cold-start issues in the pricing loop.
What We're Looking For
- 8+ 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 eval harness creation and prompt baselining against a typed ontology.
- Hands-on experience with structured data models (e.g., Pydantic) to produce auditable, typed model outputs.
- Experience operating under data residency, SOC 2, and GDPR constraints in domains where correctness is audited (pricing, billing, payments).
- Familiarity with LLM tooling platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter; MCP or LLM agent tooling experience is a plus.
- Strong communication skills to explain non-deterministic systems to both technical and non-technical stakeholders.
- Ability to thrive in a lean, high-ownership, fast-moving startup environment.
- Must be authorized to work in the United States; visa sponsorship is not available.
Compensation & Benefits
Salary range: $225,000 – $255,000 USD annually. Visa sponsorship is not available.
Location
On-site in Amsterdam, Netherlands.