Founding AI Engineer

Навыки

• AI-агенты
• B2B-продажи
• Коммуникация
• LLM
• Производство
• Мониторинг и observability
• Ответственность за результат

О компании и продукте

• This is a founding-level AI Engineering role at an early-stage B2B SaaS startup building an AI-powered pricing platform. You'll join a small, product-focused team and own the evaluation systems, feedback loops, and LLM infrastructure that connect model outputs directly to revenue and compliance outcomes. This is a high-stakes, high-ownership position — your work will sit at the core of how pricing AI earns trust and drives measurable business impact for B2B customers.
• You'll be one of the first engineers on the team, shaping technical direction in a lean environment where ambiguity is the norm and shipping to customers is the measure of success.

Задачи

• Build eval harnesses and benchmarks that use tracked pricing outcomes as ground truth for model improvement
• Systematize and automate expert review workflows currently performed manually
• Develop AI personas that simulate B2B buying committees and behavioral effects using usage data and call transcripts
• Automate persona training pipelines that are today manual processes
• Own LLM routing across providers (e.g., Anthropic, Google) with explicit cost, latency, and quality trade-offs
• Maintain infrastructure and data residency boundaries — for example, ensuring EU model calls remain within the EU
• Extend the MCP server used by LLM agents (including customer-facing agents) so that product features are agent-driven
• Define "done" as when agents can drive features through MCP, not just when a UI renders them
• Work within a typed ontology of pricing entities (e.g., SKU, Proposition, Persona, Quote via Pydantic models) so model outputs are structured and auditable
• Identify and remediate systemic latency, data drift, and cold-start issues in the pricing loop

Требования

• 8+ years of engineering experience with strong, recent, production LLM depth — including shipping LLM-powered product features to production and owning them post-launch
• Proven experience building eval harnesses and observability for LLM systems — not just dashboards, but writing the evals and baselining prompts against typed ontologies to support release gating
• Experience building evaluation benchmarks for AI recommendations in a revenue-impact domain (pricing, billing, payments, or similar)
• Hands-on experience with LLM infrastructure: routing across multiple models, managing cost/latency/quality trade-offs
• Experience working with structured data models and typed ontologies to ensure model outputs are auditable
• Strong communication skills — able to explain non-deterministic systems clearly to clients, pricing experts, and non-technical stakeholders
• Comfortable operating in a lean startup environment with high ownership and rapidly shifting priorities
• Must be authorized to work in the United States. No visa sponsorship is available at this time

Будет плюсом

• Experience with MCP or building tools/integrations for LLM agents
• Familiarity with platforms such as LangChain, LlamaIndex, Braintrust, or OpenRouter
• Background in domains where pricing, billing, or payment accuracy and auditability are required
• Experience navigating data residency or compliance constraints (SOC2, GDPR) and implementing related controls

Условия

• Salary: $225,000 – $255,000 USD annually
• Founding team equity opportunity
• High-impact, high-ownership role with direct influence on product and technical direction
• LOCATION
• This is an on-site role based in Amsterdam, Netherlands
• Candidates should be prepared to work from the Amsterdam office
• Please note that visa sponsorship is not available — you must be authorized to work in the United States (note: this authorization requirement is specified by the hiring company regardless of the office location)

Паспорт вакансии

История публикации

Откуда что взялось

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Почему на этом месте в выдаче

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