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. Originally posted on [Himalayas](https://himalayas.app)