AI Platform Engineer (f/m/d)

idnow; Berlin, München; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Health & Wellbeing

Personal & professional development

Remote-work friendly

Onsite gatherings

Paid special leave days

Workcation possibilities

Location-specific benefits

Zusammenfassung

IDnow is seeking an AI Platform Engineer based in Berlin/Munich, Germany or Rennes, France to architect and optimize integrations across cloud platforms, data systems, and apps. You will design AI workflows, automate pipelines, and ensure secure, scalable integration layers.

You will collaborate with cross-functional teams to implement automation, build reliable processes, and deliver IaC-driven infrastructure using Node.js and Python. The role blends DevOps, AI tooling, and software development.

Qualifikationen

• 5+ years in IT Integration, DevOps, or Software Engineering.
• Strong hands-on experience with GitLab, including pipelines, runners, artifacts, and CI/CD orchestration.
• Proficiency with Infrastructure as Code, particularly Terraform, and AWS deployment experience.
• Automation expertise using 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 and deployment.
• Solid understanding of AI/ML concepts, model APIs, prompt engineering, and LLM integration into backend services.
• Backend development experience (Node.js, Python).
• Knowledge of networking, IAM, and security best practices.
• Familiarity with Docker and Kubernetes is a plus.

Aufgaben

• Design and maintain scalable integrations across enterprise systems, SaaS platforms, and internal apps.
• Build and enhance GitLab-based CI/CD pipelines for application integration and infrastructure automation.
• Use Terraform to design and provision cloud infrastructure (AWS).
• Develop automation scripts and workflows to reduce manual overhead and improve reliability.
• Integrate AI-based services into workflows and data pipelines.
• Implement data integration pipelines using APIs, events, and messaging systems.
• Develop AI-driven middleware using Node.js and/or Python for decisioning and routing.
• Manage MCP (Node.js) servers for programmatic control and message processing.
• Collaborate with engineers, data teams, and cloud engineers to deliver end-to-end solutions.
• Ensure secure, well-documented integrations in line with standards.

Kenntnisse

GitLab CI/CD

Infrastructure as Code

Terraform

Automation

APIs & Data Integrations

Node.js backend

Python

AI/ML concepts

LLMs integration

Security best practices

Docker

Kubernetes

AWS

Tools

GitLab

Terraform

AWS

Docker

Kubernetes

Jobbeschreibung

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention.

Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability.

The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries.

This role is based in Berlin/Munich, Germany or Rennes, France.

IDnow is seeking a highly skilled AI Platform Engineer with strong software development capabilities and emerging expertise in AI-driven integration. In this role, you will architect, implement, and optimise integrations across cloud platforms, data systems, and application environments. You will also design and operationalise AI workflows—leveraging automation, machine learning services, and intelligent data pipelines to enhance business processes and system interoperability.

You will work closely with cross-functional teams to implement automation, build reliable integration processes, integrate data services, and deliver robust infrastructure-as-code solutions.

This position blends integration engineering, DevOps practices, AI tooling, and practical software development, offering the opportunity to shape our next-generation automation and intelligent integration capabilities.

Key Responsibilities

• Design andmaintainscalable integrations across enterprise systems, SaaS platforms, and internal applications.
• Build and enhance GitLab based CI/CD pipelines to support application integration and infrastructure automation. ‑based CI/CD pipelines to support application
• Use Terraform (or other Infrastructure as Code tools) to design and provision cloud infrastructure—primarily on AWS.
• Develop automation scripts and workflows to reduce manual operational overhead and improve reliability.
• Integrate machine learning and approved AI‑based services into operational workflows and data pipelines.
• Implement data integration pipelines using APIs, event-driven architectures, and messaging systems.
• Develop and maintain AI‑driven middleware using Node.js and/or Python to enhance decisioning, routing, or workflow logic.
• Manage, deploy, and troubleshoot MCP (Node.js‑based) servers used for programmatic control, middleware, or message processing.
• Collaborate with software engineers, data teams, and cloud engineers to deliver end‑to‑endintegration solutions.
• Ensure integrations are secure, well‑documented, and compliant with organisational standards.
• Write clean, modular, well‑tested code following engineering best practices.
• Participate in code reviews, architectural discussions, and continuous improvement efforts.
• Monitor, tune, and optimise system performance and reliability across integration layers.

Preferred Experience

• 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 withInfrastructure as Code, particularlyTerraform, and experience deploying resources inAWS.
• Solid experience in automation using scripting languages such as Python, Bash, or JavaScript/Node.js.
• Experience building and maintainingdata 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 containerisation (Docker) and orchestration (Kubernetes) is a plus.
• Excellent communication, documentation, and cross‑teamcollaboration skills.

Perks & Benefits

• Health & Wellbeing:Use your full access to the mental health platform nilo, including 1on1 sessions.
• We value personal and professional development:make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification.
• We make your remote workcomfy:we provide support on equipment and offer flexible working hours.
• We value collaboration & love to come together: regularonsite gatherings, internalinitiativesand summer parties to connect outside of work.
• May your family require your attention or other reasons apply: use the benefit of ourpaidspecialleave days.
• Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with ourWorkcation possibilities.
• In addition to the perks & benefits above, we offer specific benefits that differ between our locations

IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: race or ethnic origin, religion or convictions, gender identity or expression, citizenship, marital status, disability, age, or sexual orientation.