AI Platform Engineer (f/m/d)

Responsibilities

We are representing a confidential digital identity and fraud prevention organization seeking an AI Platform Engineer to join their technical team in Berlin or Munich, Germany.

In this role, you will design and maintain scalable integrations across enterprise systems, SaaS platforms, and internal applications. You'll build GitLab-based CI/CD pipelines to support application integration and infrastructure automation, and use Terraform to design and provision cloud infrastructure primarily on AWS. Your work will include developing automation scripts and workflows to reduce manual operational overhead, integrating machine learning and AI-based services into operational workflows and data pipelines, and implementing data integration pipelines using APIs, event-driven architectures, and messaging systems.

You'll develop and maintain AI-driven middleware using Node.js and/or Python to enhance decisioning, routing, or workflow logic. The role involves managing, deploying, and troubleshooting MCP servers used for programmatic control, middleware, or message processing. You will collaborate with cross-functional teams to deliver end-to-end integration solutions, ensure integrations are secure, well-documented, and compliant with organizational standards, and write clean, modular, well-tested code following engineering best practices. You'll participate in code reviews, architectural discussions, and continuous improvement efforts while monitoring, tuning, and optimizing system performance and reliability across integration layers.

What We're Looking For

• 5+ years in an IT Integration, DevOps, or Software Engineering role
• Strong hands-on experience with GitLab, including pipeline creation, runners, artifacts, and CI/CD orchestration
• Proficiency with Infrastructure as Code, particularly Terraform, and experience deploying resources in AWS
• Solid experience in automation using scripting languages such as Python, Bash, or JavaScript/Node.js
• Experience building and maintaining data integrations (APIs, webhooks, ETL, messaging queues, or event-driven systems)
• Working knowledge of MCP (Node.js) servers, including configuration, extension development, and deployment
• Solid understanding of AI/ML concepts, model APIs, prompt engineering, and integrating LLMs into backend services
• Strong backend development experience (Node.js, Python, or similar)
• Knowledge of networking, identity/access management, and security best practices
• Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus
• Excellent communication, documentation, and cross-team collaboration skills

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and schedule an initial screening call to understand your experience and career goals. If there's a strong match, we will prepare and submit your candidacy to our client organization. Throughout the interview process, we'll provide guidance and feedback. Please do not contact the client directly—all communication should go through our recruiting team to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process based on your experience level and location.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from all qualified candidates regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or citizenship status.