AI Backend engineer

ABN AMRO; Netherlands; On-site; EUR 78,120 - 122,760; Full time

Benefits offered by this job

Pension scheme

Flexible working options

Home office setup provided

Five weeks vacation per year

Job summary

ABN AMRO is seeking a seasoned backend engineer to design, build, and operate the GenAI infrastructure powering production-grade AI applications in banking environments, working across Voice AI, RAG pipelines, and agentic workflows.

You will own cloud deployments (Azure), APIs, CI/CD pipelines, and observability, collaborating with AI engineers and business stakeholders to deliver secure, scalable solutions; you will mentor juniors and help drive architectural decisions, aligning with security

Qualifications

• Experience deploying Python backend services in production.
• Experience with cloud infrastructure (Azure).
• Design or maintain APIs for scalable systems.
• Implemented CI/CD pipelines and automated deployments.
• Shipped production systems with measurable outcomes.

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.

Skills

Python backend

Azure cloud

API design

CI/CD pipelines

Distributed systems

GenAI integration

Tools

Python

Azure

Job description

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.