AI Platform Engineer; f​/m​/d

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 ope rationalise 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, Dev Ops practices, AI tooling, and practical software development, offering the opportunity to shape our next-generation automation and intelligent integration capabilities.

• Design andmaintainscalable integrations across enterprise systems, SaaS platforms, and internal applications.
• Build and enhance Git Lab 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‑end integration 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.

• 5+ years in an IT Integration, Dev Ops, or Software Engineering role.
• Strong hands-on experience with Git Lab
  , 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…