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

Trusted Shops; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hybrid work

Workation

28 vacation days

Buddy programme

Individual training opportunities

Events

Health Pass

Job summary

Trusted Shops in Amsterdam seeks a skilled AI developer to build production-grade GenAI systems. Responsibilities include developing autonomous AI agents, implementing advanced retrieval-augmented generation systems, and ensuring compliance with company values. Ideal candidate should have a degree in Computer Science or related field, proven experience with high-accuracy AI systems, and strong Python skills. The position offers a hybrid work model, flexibility with workation, 28 vacation days, and personal training opportunities.

Qualifications

• Proven experience deploying high-accuracy, scaled AI systems in production.
• Hands-on experience with Agentic AI and multi-agent orchestration.
• Fluent in English; additional languages are a plus.

Responsibilities

• Build production-ready GenAI systems.
• Develop autonomous AI agents for informed decisions.
• Implement advanced Retrieval-Augmented Generation systems.

Skills

Production-grade GenAI systems

High-accuracy, scaled AI systems

Agentic AI and multi-agent orchestration

Strong Python skills

Modern GenAI frameworks

Building robust APIs

Cloud AI/ML services

Education

Degree in Computer Science, Machine Learning, Data Science, or related field

Tools

AWS (Bedrock, SageMaker, Lambda, ECS/Fargate)

LangChain

Pinecone

Job description

Overview

Artificial Intelligence is a core driver of the future at Trusted Shops, helping solve complex challenges, scale operations, and create intelligent customer experiences. The company is growing its AI capabilities with an AI-first mindset, where AI is integrated from the ground up to power the solutions of tomorrow.

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

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.

Your profile

• 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.

What we offer you

• 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).