Job description
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 Lang. Chain, Llama. Index, Braintrust, Langfuse, or Open. Router.
- 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.