Remote job
Remote confirmed(Senior) GenAI Engineer (f/m/d)
Trusted Shops SE (DE)
Our assessment
- Our reading of the full posting text confirms it: fully remote.
- The posting states no salary. Comparable roles in our index (74 postings): median 5,834 euros per month, middle range 4,836 to 6,875 euros.
- 11 more open roles from this employer in our index. 5 of them fully remote.
This section only: calculated automatically by nomado24, from our own job index and our own reading of the posting text. Not stated by the employer.
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)
Cologne (hybrid) or Berlin (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
This role is provided by an external source. Applications are handled on the source website.
