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(Senior) GenAI Engineer (f/m/d)

📅 Apr 23
Genai SystemsAI AgentsRetrieval-augmented GenerationMulti-agent Systems

📜 Description

  • Build production-ready GenAI systems for use cases like churn prediction and content generation.
  • Develop autonomous AI agents that interact with users and systems using modular logic.
  • Implement advanced Retrieval-Augmented Generation and multi-agent systems.
  • Create scalable AI services packaged into reusable APIs and serverless architectures.
  • Integrate AI solutions with platforms like HubSpot and Salesforce for workflow automation.
  • Ensure reliability, explainability, and compliance of AI solutions.

🛠️ Requirements

  • Degree in Computer Science, Machine Learning, Data Science, or equivalent experience.
  • Proven experience deploying high-accuracy AI systems in production.
  • Hands-on experience with Agentic AI and multi-agent orchestration.
  • Strong Python skills and experience with modern GenAI frameworks.
  • Experience building robust APIs and serverless AI services.
  • Practical experience with cloud AI/ML services.

Benefits

  • Hybrid work: Combine flexible remote work with team time in the Cologne office (on-site days depending on your location)
  • Workation: Temporarily work from a destination of your choice within the EU, Iceland, Liechtenstein or Norway
  • Permanent contract with Europe's trusted brand
  • 28 vacation days + 2.5 additional days off at Christmas, New Year's Eve and Carnival
  • Buddy programme (an experienced trustee is at your side)
  • Individual training opportunities
  • Events (Team Events, Unit Events, etc.)
  • Health Pass (free online and offline sports, fitness and health courses)
Full job description

At Trusted Shops, we’re shaping Europe’s Community of Trust – a space where Businesses and Consumers connect with confidence, transparency, and security. Every day, millions of Users and thousands of Companies across Europe trust us to deliver safe, reliable, and seamless digital experiences.

To realize this ambitious Vision, we see
Artificial Intelligence not as a trend but as a core driver of our future. AI is essential to how we solve complex challenges, scale our operations, and create customer experiences that are not just efficient but truly intelligent.
We’re growing our AI capabilities with an AI-first mindset – where AI is integrated from the ground up, powering the Solutions of tomorrow.

To join our AI Solutions Team, we are looking for a:

(Senior) GenAI Engineer (f/m/d)

Germany (remote) | Permanent Contract (Full-time)


Now, we’re taking the next step: shaping the future of
Agentic Commerce – a future where AI doesn’t just support decisions, but acts with purpose, responsibility, and impact.


Your Key Responsibilities:

In our AI Solutions Team, you’ll play a key role in developing the intelligence that drives our Products, Services, and internal Processes forward

  • Build production-ready GenAI systems: Train, fine-tune, and deploy models for business-critical use cases like churn prediction, content generation, and trust scoring. Take full ownership of end-to-end AI solutions

  • Develop autonomous AI agents: Design agents that make informed decisions, interact with users and systems, and integrate with tools and data sources using modular logic and the Model Context Protocol (MCP)

  • Implement advanced RAG & multi-agent systems: Build Retrieval-Augmented Generation systems and orchestrate multi-agent workflows using frameworks like LangGraph, AgentCore, or Strands Agents

  • Create scalable AI services: Package models into reusable APIs and serverless architectures (AWS Lambda, REST APIs), making AI capabilities accessible across teams

  • Integrate with enterprise platforms: Connect AI solutions with HubSpot, Salesforce, proprietary tools, and other systems for seamless workflow automation

  • Ensure reliability, explainability & compliance: Deliver trustworthy, transparent, and compliant AI solutions aligned with company values

  • Leverage cloud-native architectures: Work with AWS (Bedrock, SageMaker, Lambda, ECS/Fargate) or other cloud platforms to build scalable AI pipelines

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