Founding AI Engineer

Clera

AI Engineer building evaluation systems and feedback loops for an AI-powered pricing platform that optimizes pricing strategies in B2B companies.

Posted 8/1/2026full-timeAmsterdam • 🇳🇱 NetherlandsSeniorLead💰 €130,000 - €165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in building and maintaining LLM infrastructure, ensuring compliance with data regulations, and effectively communicating complex engineering concepts to non-technical stakeholders. Proficient in full-stack development with a focus on LLM systems and observability.

Highest-signal resume keywords

LLM Infrastructure OwnershipProduction LLM DepthEval Harness DevelopmentFull Stack DevelopmentStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringLLM DevelopmentEval DevelopmentObservabilityTypeScriptPythonFastAPI

Soft Skills

Strong CommunicatorStakeholder Engagement

Tools & Technologies

GCPModern LLM Tooling

Industry Keywords

Data Residency ComplianceAI RecommendationsCost/Latency/Quality Tradeoffs

Tech Stack

Tools & technologies

Google Cloud PlatformPythonTypeScript

About the role

Key responsibilities & impact

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).

Requirements

What you’ll need

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.

Benefits

Comp & perks

Meaningful employee stock option plan (ESOP)