Founding AI Engineer

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 - Design and build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth for AI recommendations. - Own LLM infrastructure and model routing across multiple frontier providers (Anthropic, Google) with explicit cost/latency/quality tradeoffs. - Maintain EU data-residency boundaries for EU customer model calls, ensuring compliance with applicable data regulations. - Extend an MCP server so LLM agents — including customers' own agents — can programmatically drive the platform. - Build observability and feedback loops that surface where the AI earns or loses trust from human reviewers. - Bridge non-deterministic engineering concepts clearly to less technical stakeholders (sales, customer success, leadership). What We're Looking For Required - 8+ years of software engineering experience with strong, recent production LLM depth. - Demonstrated track record of shipping and owning LLM-powered product features in production — not research-only work. - Has personally built evals and observability for LLM systems (not just consumed someone else's dashboard). - Comfortable operating across the full stack: TypeScript/Python, FastAPI, GCP, and modern LLM tooling. - Strong communicator who can make non-deterministic engineering concepts legible to non-technical stakeholders. Nice to Have - Experience with MCP or building tools/integrations for LLM agents. - Familiarity with LangChain, LlamaIndex, Braintrust, Langfuse, or OpenRouter. - Background in a domain where correctness is audited — pricing, billing, payments, or similar. - Experience at a seed-stage or founding-team environment; comfort with AI-assisted coding workflows (e.g., Cursor, Claude Code). Tech Stack - Languages & Frameworks: TypeScript, React, Python, FastAPI - Infrastructure: GCP, Pulumi, Cloudflare Pages, MongoDB Atlas - AI/LLM Tooling: FastMCP, Langfuse, Anthropic Claude, Google Gemini Compensation & Benefits - Salary: €130,000 – €165,000 annually - Equity: Meaningful employee stock option plan (ESOP) - 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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