Trusted Shops is seeking a Senior GenAI Engineer to join its AI Solutions Team, developing production-ready GenAI systems and autonomous agents for Agentic Commerce. The role involves building RAG and multi-agent workflows, creating scalable AI services on AWS, and integrating with enterprise platforms. This is a permanent, full-time position based in Cologne (hybrid) or Berlin (remote), with flexible work options.
Responsibilities
Build production-ready GenAI systems: train, fine-tune, and deploy models for churn prediction, content generation, and trust scoring.
Develop autonomous AI agents that make informed decisions and integrate with tools and data sources using modular logic and MCP.
Implement advanced RAG and multi-agent systems using frameworks like LangGraph, AgentCore, or Strands Agents.
Create scalable AI services as reusable APIs and serverless architectures (AWS Lambda, REST APIs).
Integrate AI solutions with enterprise platforms such as HubSpot and Salesforce.
Ensure reliability, explainability, and compliance of AI solutions.
Requirements
Degree in Computer Science, Machine Learning, Data Science, or equivalent production experience.
Proven experience deploying high-accuracy, scaled AI systems in production.
Hands-on experience with Agentic AI and multi-agent orchestration, including planning, tool usage, decision-making, and self-correction.
Trusted Shops SE is a leading European e-commerce trust brand that provides security, orientation, and transparency for online retailers and consumers. Their services include buyer protection, merchant certification (Trustmark), and a feedback platform for authentic customer reviews.
Strong Python skills and experience with modern GenAI frameworks (LangChain, LlamaIndex), vector databases (Pinecone, Chroma, pgvector), and embedding strategies.
Experience building robust APIs and serverless AI services (FastAPI, REST) with async patterns and scalability.
Practical experience with cloud AI/ML services (AWS Bedrock, SageMaker, Lambda, ECS/Fargate) or equivalent.