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