AI Backend engineer

Overview

Our AI team builds GenAI applications that go into production at one of the Netherlands' largest banks. Our scope is bankwide, from voice agents handling thousands of contact center calls to AI lending assistants that support lenders in writing credit proposals. We build, ship, measure, iterate, and do it fast.

Role

You design, build, and operate the backend services and infrastructure that power GenAI applications in production. You ensure that AI solutions are secure, scalable, and reliable in a real banking environment.

Responsibilities

• Design and implement backend services and Azure cloud infrastructure for GenAI use cases, including Voice AI, RAG pipelines, and agentic workflows.
• Build and maintain secure, scalable cloud infrastructure and CI/CD pipelines for production systems.
• Ensure reliability and performance through monitoring, logging, observability, and optimization.
• Collaborate with AI engineers to integrate GenAI capabilities into production‑ready systems.
• Partner with business stakeholders to translate requirements into scalable backend and infrastructure solutions.
• Own the full system lifecycle: design, build, deploy, operate, and continuously improve production systems.
• Contribute to engineering excellence through code reviews, knowledge sharing, and backend/infrastructure best practices.

Your profile

• Built and deployed Python backend services or platforms that run in production.
• Worked with cloud infrastructure (Azure required).
• Designed or maintained APIs and distributed systems that handle real‑world usage.
• Implemented CI/CD pipelines and automated deployments.
• Shipped systems that are relied on by users, and can explain outcomes.
• Experience integrating GenAI/LLM components is a plus, but not required.

How you work

• Take ownership from initial cloud architecture design to production deployment, ensuring ongoing operations.
• Move quickly from idea to working system without heavy direction.
• Balance speed, reliability, scalability, and maintainability.
• Mentor juniors and share knowledge on system design and infrastructure.
• Communicate technical decisions clearly to engineers and non‑technical stakeholders.
• Show interest in GenAI and its fit in real production systems.
• Demonstrate initiative through side projects or tooling.

Benefits

• Attractive gross monthly salary based on a 36‑hour work week, including holiday allowance and a flexible benefit budget.
• Excellent pension scheme.
• Flexible working: work from home where possible; ergonomic home office set‑up provided.
• Five weeks of vacation per year, plus two mandatory days off; additional vacation weeks up to four can be purchased.
• Extra days off for personal development or volunteer work.
• Annual public transport pass.

Equal Opportunities

We value equal opportunities for all employees and adhere to inclusive hiring practices.