About the Role
Join a small, high-velocity team building an AI-powered pricing platform that helps B2B companies continuously optimize their pricing strategy and improve deal outcomes. The AI recommends prices; expert Pricing Architects stay in the loop on high-stakes calls. Your mandate is to build the evaluation systems and feedback loops that let the AI earn more of that trust over time. This is applied AI on a problem where quality is directly measurable in customer revenue.
What You'll Do
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Design and build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth for AI recommendations.
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Own LLM infrastructure and model routing across multiple frontier providers (Anthropic, Google) with explicit cost/latency/quality tradeoffs.
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Maintain EU data-residency boundaries for EU customer model calls, ensuring compliance with applicable data regulations.
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Extend an MCP server so LLM agents — including customers' own agents — can programmatically drive the platform.
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Build observability and feedback loops that surface where the AI earns or loses trust from human reviewers.
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Bridge non-deterministic engineering concepts clearly to less technical stakeholders (sales, customer success, leadership).
What We're Looking For
Required
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8+ years of software engineering experience with strong, recent production LLM depth.
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Demonstrated track record of shipping and owning LLM-powered product features in production — not research-only work.
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Has personally built evals and observability for LLM systems (not just consumed someone else's dashboard).
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Comfortable operating across the full stack: TypeScript/Python, FastAPI, GCP, and modern LLM tooling.
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Strong communicator who can make non-deterministic engineering concepts legible to non-technical stakeholders.
Nice to Have
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Experience with MCP or building tools/integrations for LLM agents.
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Familiarity with LangChain, LlamaIndex, Braintrust, Langfuse, or OpenRouter.
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Background in a domain where correctness is audited — pricing, billing, payments, or similar.
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Experience at a seed-stage or founding-team environment; comfort with AI-assisted coding workflows (e.g., Cursor, Claude Code).
Tech Stack
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Languages & Frameworks: TypeScript, React, Python, FastAPI
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Infrastructure: GCP, Pulumi, Cloudflare Pages, MongoDB Atlas
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AI/LLM Tooling: FastMCP, Langfuse, Anthropic Claude, Google Gemini
Compensation & Benefits
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Salary: €130,000 – €165,000 annually
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Equity: Meaningful employee stock option plan (ESOP)
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Visa sponsorship is not available for this role.
Location
This is a fully on-site role based in Amsterdam, Netherlands. Candidates must be able to work on-site; remote work is not available for this position.
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