AI Systems & Automation Engineer

About RoomPriceGenie

Founded in 2017, RoomPriceGenie is dedicated to helping hoteliers around the globe achieve optimal pricing. We understand that many small hotels face challenges with digitalization, making their operations increasingly complex and often resulting in lost revenue. This is where we come in!

We have developed a powerful solution that enables hotels to set the right prices in just seconds. Our state-of-the-art algorithm analyzes both internal hotel data and market trends to recommend pricing strategies that enhance revenue and improve booking rates.

With customers spanning the globe—from the USA and Canada to Iceland, South Africa, China, Slovenia, Italy, and the UK—RoomPriceGenie has made a meaningful impact in the hospitality industry, and our clients love the results.

Now, we are excited to expand our customer base and spread the word about how we can support hoteliers in optimizing their pricing strategies. We invite you to join us on this journey! We actively encourage applications from candidates with diverse backgrounds to enrich our team and drive innovation.

Why RoomPriceGenie?

We take both culture and product seriously: recognized as Best Place to Work in HotelTech (2026) and Best Revenue Management Software (2026). We power pricing for thousands of hotels worldwide on a modern data stack.

This is a fully remote role within Europe (UTC+0 to UTC+2). You will have genuine ownership, strong support, and the opportunity to build high-value internal AI systems and agents that make our operational teams significantly faster and smarter.

Your Role

As an AI Systems & Automation Engineer, you will drive internal AI adoption across Customer Success, Sales, and Operations. Your job isn't to build raw ML models or write throwaway demos. You will work directly with business leads to unblock legacy processes, connect internal data to core operational tools, and deploy dependable, supervised AI agents that automate complex workflows.

You will join our AI & Security team and bridge the gap between our core data platforms (Snowflake, Postgres, DocumentDB, S3) and our GTM stack (HubSpot, Chargebee, Modjo, Notion), establishing practical patterns for safe, agentic automation across the business.

What You’ll Do

• Translate Business Pain into Systems: Partner directly with Customer Success, Sales, and Ops teams to map out manual, multi-step workflows and design high-ROI AI automation targets.

• Build Production Agents & Integrations: Write clean, maintainable code (Python/TypeScript) connecting LLM APIs to internal data stores and third-party SaaS platforms (HubSpot, Chargebee, Modjo, Notion).

• Implement Modern Agent Standards: Build modular agent capabilities using standardized tools and schemas (such as Agent Skills standards, Claude Plugins, or custom function-calling pipelines) to give models safe, structured action boundaries.

• Design Human-in-the-Loop Workflows: Implement strict guardrails, schema validation, human approval gates, and escalation paths so non-technical staff can safely supervise AI outputs.

• Ensure Integration Reliability: Manage API rate limits, Webhooks, asynchronous jobs, and retry logic to keep integrations rock-solid as internal data volume grows.

• Measure & Iterate: Build lightweight evaluation harnesses to track agent accuracy, hallucination rates, latency, and cost, optimizing prompt architectures and model choices based on real production usage.

Your Profile

• Strong Software Fundamentals: Solid background in Python and/or TypeScript, asynchronous execution, REST APIs, Webhooks, SQL, and working with relational or analytical databases.

• Claude & LLM Ecosystem Expertise: Deep, hands-on proficiency with Claude (Anthropic API, Prompt Engineering, Workbench, SDKs) and adjacent modern developer applications.

• Agent Skill & Tool Design: Familiarity with modern agent capability frameworks, such as standard Agent Skills (agentskills.io), Claude Plugins / Model Context Protocol (MCP), or structured tool execution design.

• Integration & Ecosystem Familiarity: Experience consuming complex SaaS APIs (HubSpot, Chargebee, Modjo). Proficiency with Notion (APIs, workspace structures, and knowledge management) is a strong plus.

• Operational Empathy: Business-minded engineer who enjoys talking to non-technical colleagues, understanding messy legacy processes, and building practical tools that make their daily jobs easier.

• Location & Communication: Fluent in English and based in European time zones (UTC+0 to UTC+2).