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Usercentrics

Consent management SaaS for privacy compliance

AI Enablement Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePrague, CzechiaNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of software engineering experience, with a full-stack or solutions engineering background.
  • Hands-on experience building and shipping applications with LLM APIs such as Claude, OpenAI, or similar.
  • Working knowledge of MCP servers, AI agent tooling, or integration patterns for AI in a business context.
  • Security- and governance-conscious engineering practice for work in regulated business environments.

Responsibilities

  • Prototype, build, and hand over department AI applications in collaboration with the business teams that will own the outcomes.
  • Run technical enablement sessions with non-engineering teams, explaining the applications, how to use them, and how to formulate future requests.
  • Guide teams on technology stack choices, MCP servers, AI artefacts such as Skills, Connectors, and plugins, and integration patterns for AI in a business context.
  • Ensure each implementation meets GRC standards before reaching business users.
  • Document reusable patterns and components and contribute them to the AI Hub, MCP servers, Claude connector delivery, and the Skill Hub.
  • Contribute to the platform's next layer, including an LLM access gateway, RAG infrastructure, model operations, and evaluation frameworks.
  • Partner with the AI Enablement Lead to qualify use-case requests, scope builds realistically, and report on adoption.

Desired Qualifications

  • Experience in consulting, solutions architecture, or embedded engineering.
  • Familiarity with Azure or GCP and Usercentrics' product platforms.
  • Exposure to model serving, RAG pipelines, or MLOps.
  • Background in AI governance or responsible AI deployment.

About the Company

Usercentrics

Consent management SaaS for privacy compliance

Usercentrics is a consent management platform that helps businesses comply with global data privacy laws like GDPR and CCPA. It provides a SaaS-based CMP that integrates with websites and mobile apps to manage user consent for data collection and processing. The platform includes a consent UI, a database of data processing services, regular legal updates, and a mobile SDK for easy integration. Revenue comes from subscription plans with different tiers. It differentiates itself by acting as a neutral mediator to align marketing and data strategies with legal requirements, offering ongoing legal updates and a broad compliance database. The company's goal is to enable transparent, compliant data processing while allowing businesses to maintain effective user experiences and marketing activities.

Company size
201-500
Company stage
Late Stage VC
Total funding
$45.1M
Headquarters
Munich, Germany
Founded
2017

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