Senior Backend Engineer, AI Platform

Accountabilities:

Design, develop, and maintain backend services that integrate AI capabilities into customer-facing product features.
Build performant, scalable, and reliable APIs and backend systems that connect AI-generated outputs with existing SaaS functionalities.
Transform AI models, data, and services into practical solutions that deliver measurable value to property managers and guests.
Collaborate closely with Product and Design teams to develop intuitive, user-friendly experiences powered by artificial intelligence.
Work alongside frontend engineers to connect backend AI services with application interfaces and ensure seamless feature delivery.
Partner with platform and integration engineering teams to embed AI capabilities into existing systems, applications, and customer workflows.
Implement robust observability, monitoring, logging, and error-handling mechanisms to ensure the reliability and stability of AI services in production.
Contribute to the continuous evolution of the AI integration infrastructure, including Python SDKs, Model Context Protocol (MCP) servers, and LLM orchestration solutions.
Help optimize AI-powered workflows to make customer interactions smarter, faster, and more personalized.
Promote engineering best practices, maintainable architecture, and effective collaboration across technical and product teams.
Requirements:
At least 5 years of professional experience in backend engineering, ideally within a SaaS environment.
Strong proficiency in Python, with the ability to design, develop, and maintain production-ready backend applications and services.
Solid experience designing, developing, and integrating REST APIs and connecting third-party services within SaaS platforms.
Familiarity with Large Language Models (LLMs), AI-powered development tools, and frameworks such as LangChain, Vercel AI SDK, and MCP servers.
Experience working alongside Python-based AI services and the ability to connect different technology stacks and systems effectively.
Understanding of scalable backend architectures, service integrations, and reliable production environments.
Knowledge of AI integration patterns, LLM orchestration, and the practical implementation of AI-powered product features is an advantage.
Familiarity with PHP and/or Golang is considered a plus.
Strong problem-solving and analytical skills, with the ability to translate complex technical requirements into effective solutions.
Excellent communication and collaboration skills, particularly when working with cross-functional teams across Product, Frontend, and Platform Engineering.
A proactive mindset, strong sense of ownership, and ability to work independently in a distributed international environment.
Must be physically based within Europe or the Middle East and North Africa (MENA) region to facilitate collaboration with internal teams and stakeholders.
Benefits:
Competitive Compensation: Market-aligned salary based on the applicant's country of residence.
100% Remote Work: Full flexibility to work from home, a coworking space, or another suitable location within your country of residence.
Temporary International Remote Work: Possibility to work temporarily from another country with prior approval from your team lead, in accordance with the remote working policy.
Equity and Stock Options: Access to valuable stock options, allowing employees to share in the company's long-term growth and success.
Annual Team Offsites: Opportunities to meet colleagues in person once a year, strengthen professional relationships, align on strategy, and collaborate in a different location.
Professional Growth: Access to significant learning and development opportunities, technical challenges, and career advancement prospects within a rapidly growing organization.
Annual Paid Leave: Paid vacation entitlement aligned with local employment regulations and country-specific contractual arrangements.
Country-Specific Benefits: Additional benefits depending on your country of residence, including health insurance and pension contributions where applicable.
International Team Culture: Opportunity to work with a diverse, globally distributed team spanning more than 40 countries.
Values-Driven Leadership: A collaborative environment where shared values guide strategic decisions, everyday operations, and leadership practices.
Innovative Technology Environment: Opportunity to work with modern AI technologies, LLM integrations, Python-based services, and emerging tools shaping the future of SaaS products.