Founding AI Engineer

Clera; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Meaningful ESOP

Job summary

Clera is seeking an experienced software engineer to lead the development of an AI-powered pricing platform. You will design eval harnesses and observability, own LLM infrastructure, and ensure EU data residency while routing models across frontier providers.

You will also extend MCP-driven integrations and communicate complex concepts to non-technical stakeholders. The role emphasizes building trusted AI systems with measurable impact on revenue and pricing outcomes, with a focus on fast

Qualifications

• 8+ years of software engineering with strong, recent production LLM depth.
• Shipping and owning LLM-powered features in production — not research-only work.
• Personally built evals and observability for LLM systems (not just dashboards).
• Comfortable 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.

Responsibilities

• Design and build eval harnesses and benchmarks using real pricing outcomes as ground truth.
• Own LLM infrastructure and model routing across frontier providers with cost/latency/quality tradeoffs.
• Maintain EU data-residency boundaries for EU customer model calls and compliance.
• Extend an MCP server so LLM agents can drive the platform programmatically.
• Build observability and feedback loops to surface when the AI earns or loses trust.
• Bridge non-deterministic engineering concepts to sales, customer success, and leadership.

Skills

LLM depth

Shipping LLM features

Evals & observability

TypeScript

Python

FastAPI

GCP

Communication

Tools

LangChain

LlamaIndex

Langfuse

OpenRouter

Braintrust

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 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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