🇳🇱 Amsterdam, Netherlands · 16h ago
AI ENGINEER (M/F/D)
Canyon Bicycles GmbH
IndeedEnglish-friendlyonsite
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We are a community open to everyone. One global team where everyone counts.
Join the Canyon team and work at the cutting edge of the bike industry, with a job as versatile and exciting as the bikes we develop. All in an open, international atmosphere where teamwork, collaboration, true innovation, and a dynamic workplace are all part of our everyday. Ready to ride with us?
Stellenbeschreibung
THE ROLE
Canyon is building custom AI agents that power our digital ecosystem—from internal productivity tools to customer-facing experiences reaching riders worldwide. We are seeking a pragmatic, hands-on AI Engineer to design robust RAG architectures, own prompt engineering end-to-end, and ship production-ready agents. Working across the stack from model behavior to deployment, you will play a pivotal role in shaping the future of AI at Canyon.
YOUR JOB AS PART OF THE CANYON CREW
Agent Development: You design, implement, and maintain intelligent AI agents for customer service, internal productivity, and e-commerce applications.
Prompt Engineering & Optimization: You own the development, testing, and continuous iteration of system and user prompts (currently via Azure OpenAI) to optimize agent behavior.
RAG & Vector Search: You implement robust, agentic retrieval-augmented generation (RAG) pipelines using Pinecone and vector databases to enable dynamic, context-aware responses.
Evaluation & Quality Assurance: You define, track, and implement evaluation layers and performance metrics (latency, accuracy, engagement, CSAT) to ensure we consistently ship best-in-class products.
Infrastructure & MLOps: You help build a maintainable AI infrastructure, integrating feedback loops, monitoring, versioning, and CI/CD practices for AI workflows.
Cross-Functional Collaboration: You partner closely with product managers, designers, and business stakeholders to shape new AI use cases and support fine-tuning LLMs with custom data.
HOW YOU BECOME PART OF THE RACE
LLM & Prompting Expertise: Proven experience in building LLM-based applications (Azure AI, OpenAI, LLaMA, Mistral) paired with a deep understanding of prompt engineering and guardrails forms your core background.
Technical & Coding Skills: Strong proficiency in Python and familiarity with key AI/ML libraries (LangChain, Haystack, Hugging Face) allow you to turn concepts into functional code quickly.
Architecture & MLOps: Hands-on experience with vector databases (Pinecone, Weaviate), Agentic RAG pipelines, MLOps monitoring, and cloud services (preferably Azure) set you apart.
Integrations & Mindset: Solid understanding of REST APIs, webhooks, and modern CI/CD practices goes hand in hand with your pragmatic, fast-shipping approach and strong communication skills.
Nice-to-Haves: Prior experience in DTC or e-commerce environments, a background in NLP/Machine Learning, or familiarity with AI ethics and data privacy is a distinct plus.
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HIGHLIGHTS ON YOUR CANYON TOUR
The Canyon Crew & Culture: Combine energy and transparency in a global team. We promote a strong feedback culture, unique Canyon events, and inspiring crew rides. Your voice matters in creating an inclusive workplace where well-being is a priority.
Feel Canyon (Product Perks): Unlock your passion for cycling! Enjoy exclusive discounts on bikes, gear, and apparel as part of our commitment to fueling your journey.
Compensation & Rewards: Experience a rewarding career with a competitive market-based salary and generous paid time off. Your satisfaction is our priority.
Life-Work Integration: Join us for a career that prioritizes balance through flexible and hybrid work options in a family-friendly environment.
Impact & Development: Shape the future of mobility. We offer diverse career paths across operational, strategic, creative, or technical roles, where innovation and sustainability consistently challenge and inspire you.
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