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Senior Backend Engineer, AI Platform

IrelandRemoteFull-timesenior

EngineeringBackend Developer

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Quick Summary

Requirements Summary

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,

Technical Tools

EngineeringBackend Developer

Join an innovative engineering team and play a key role in bringing artificial intelligence capabilities into a globally used SaaS platform for vacation rental management. As a Senior Backend Engineer within the AI team, you will transform AI models and raw data into practical, customer-facing features that improve the experience of property managers and guests. You will design and develop scalable backend services, APIs, and integrations using Python, working closely with frontend, product, and platform teams. Your work will help embed intelligent automation, personalized insights, and AI-powered workflows into existing products and services. You will also contribute to the evolution of the AI technology stack, including LLM orchestration, Python SDKs, and MCP servers. This is an opportunity to influence the development of AI-driven products while working in a collaborative, international, and fully remote environment.

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

~1 min read

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.

What We Offer

~2 min read

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

✓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.