AI Backend Software Engineer Ii

September 26, 2026

Hybrid

Middle

Amsterdam, Netherlands

Worth knowing

English is required

Description

Booking.com is hiring an AI Backend Software Engineer II to join its AI Application Platform team in Amsterdam. The role sits at the intersection of scalable backend systems and cutting-edge AI, building the core platform that lets product teams rapidly develop and deploy AI-powered experiences for millions of users. You will design AI infrastructure, integrate AI/ML tooling, and take end-to-end ownership of reliability in close collaboration with ML engineers, data engineers, and data scientists. The position is hybrid, and candidates must currently be based in the Netherlands as no relocation assistance is provided.

Responsibilities

Design and evaluate architecture solutions for AI infrastructure, rapidly prototyping to validate key assumptions
Explore, benchmark, and integrate new AI/ML tools and technologies to drive innovative engineering solutions
Build and maintain scalable, reusable backend services supporting real-time AI/ML inference, model deployment, and data pipelines
Collaborate closely with ML engineers, data engineers, and data scientists to bring AI/ML models into production and optimize system performance
Take end-to-end ownership of system reliability and operational excellence, including performance tuning, observability and incident management
Continuously grow technical and interpersonal skills through hands-on experience, knowledge sharing sessions, and industry events

Requirements

3+ years of professional experience in software engineering, with a focus on backend or platform development
Experience building distributed systems at scale, with a focus on performance tuning, observability, and reliability best practices
Experience with scalable data storage systems (e.g. MySQL, Redis) and optimizing data access and caching for high-throughput applications
Proficiency in one or more server-side programming languages such as Java, Scala, or Python
Experience in feature engineering, integrating AI/ML models into production systems, and understanding model behavior, performance and constraints
Experience building AI agents and components such as memory, context engineering, retrieval, and orchestration
Experience working in cross-functional teams alongside ML engineers, data scientists, and product stakeholders to bring AI/ML products to production
Experience with containerization tools like Docker and Kubernetes, and deploying applications in cloud environments such as AWS or GCP
Ability to navigate ambiguity, take ownership of complex problems, and drive them to resolution
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent industry experience

Conditions

Annual paid time off and generous paid leave scheme including parental (22-weeks paid leave), grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
Sustainable HQ Campus in Amsterdam with on-site meals, coffee, snacks, multi-faith and breastfeeding rooms
Commuting allowance and bike reimbursement scheme
Discounts and wallet credits, upgrade to Booking.com Genius Level 3, and friends & family discount vouchers
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program and free Headspace membership

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