(Senior) Generative AI Engineer (f/m/d)

Trusted Shops SE

16h • Hybrid

About The Position

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. 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. As a Generative AI Engineer (f/m/d) in our AI Solutions Team, you’ll play a key role in developing the intelligence that drives our Products, Services, and internal Processes forward.

Requirements

• Degree in Computer Science, Machine Learning, Data Science, or related field or equivalent experience building production-grade GenAI systems
• Proven experience deploying high-accuracy, scaled AI Systems in production, beyond PoCs or simple Chatbots
• Hands-on experience with Agentic AI and multi-agent orchestration, including planning, tool usage, decision-making, and self-correction
• Strong Python skills and experience with modern GenAI frameworks (LangChain, LlamaIndex, etc.), vector databases (Pinecone, Chroma, pgvector), and embedding strategies
• Experience building robust APIs and serverless AI Services (FastAPI, REST) with async patterns, error handling, and scalability in mind
• Practical experience with cloud AI/ML Services (AWS Bedrock, SageMaker, Lambda, ECS/Fargate) or equivalent cloud environments
• Data-driven and pragmatic mindset: delivering production-ready solutions with measurable impact
• Fluent in English; additional languages are a plus
• Collaborative, curious, and purpose-driven, ready to tackle complex AI challenges

Responsibilities

• 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

Benefits

• Hybrid work: Combine flexible remote work with team time in the office
• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree