AI Platform Engineer (f/m/d) at IDnow – Berlin | Jobyssey

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 and maintain scalable 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‑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.

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 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 containerisation (Docker) and orchestration (Kubernetes) is a plus.
Excellent communication, documentation, and cross‑team collaboration 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 work comfy: we provide support on equipment and offer flexible working hours.
We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work.
May your family require your attention or other reasons apply: use the benefit of our paid special leave days.
Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation 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.

AI Platform Engineer (f/m/d)

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