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Full-Stack Integration Engineer(m/w/x)

Canyon Bicycles GmbH
Koblenz

You design and maintain backend services for AI agents while developing integrations with key systems. Additionally, you create prototypes, manage cloud services, and explore innovative AI technologies to ensure robust and scalable solutions.

Anforderungen

  • •5+ years of experience in backend or full-stack engineering
  • •Strong proficiency in Python, TypeScript, and JavaScript
  • •Practical experience with Azure cloud infrastructure and Terraform
  • •Comfortable with React Native development
  • •Proven experience integrating with Salesforce APIs
  • •Strong understanding of secure API development and OAUTH
  • •Ability to move quickly from prototype to scaling
  • •Fluent in Git workflows and CI/CD pipelines
  • •Experience with AI/LLM agents or LangChain (Nice to Have)
  • •Familiarity with Google Cloud AI tools (Nice to Have)
  • •Understanding of RAG pipelines and prompt orchestration (Nice to Have)
  • •Interest in AI, commerce, and user experience (Nice to Have)

Deine Aufgaben

  • •Build and maintain secure backend services for AI agents.
  • •Develop API integrations with Salesforce Commerce and SAP.
  • •Create functional PoCs to test AI use cases.
  • •Deploy and manage services in Azure with Terraform scripts.
  • •Implement lightweight frontends for AI agents in mobile apps.
  • •Interface with vector databases and support RAG pipeline development.
  • •Explore evolving AI protocols for Canyon use cases.

Original Beschreibung

Job Description ## THE ROLE We’re looking for an Integration Engineer with a backend-first mindset, strong cloud infrastructure skills, and enough frontend capability (React Native) to help us bootstrap intelligent AI-powered experiences from end to end. You’ll be the engineering backbone of our AI Agent development — integrating LLMs into secure production systems, connecting enterprise data (Salesforce, SAP), and helping deploy AI prototypes to real users via app or web. You’ll also help define the dev standards, cloud architecture, and APIs that power Canyon’s next-gen AI experiences. ## YOUR JOB AS PART OF THE CANYON CREW **• Backend Engineering for AI Agents:** Build and maintain secure, scalable, production-ready backend services powering Canyon’s AI agents. **• Enterprise Integration:** Develop robust API integrations with Salesforce Commerce, Service, and Marketing Clouds, and work closely with our middleware team to interface with SAP. **• Rapid Prototyping:** Build fast, functional PoCs to test AI use cases (internal tools, customer-facing features), and turn them into production-grade systems. **• Cloud & Infra-as-Code:** Deploy and manage services in Azure, including writing and modifying Terraform scripts for infrastructure provisioning and automation. **• Frontend Support (React Native):** Implement lightweight frontends and touchpoints for our AI agents when needed, especially in mobile app surfaces. **• Data & Pipeline Development:** Interface with vector databases (Pinecone, FAISS), support RAG pipeline development, and ensure clean access to business data. **• AI Tech Exploration:** Stay curious and hands-on with evolving AI protocols (e.g., Google A2A, Google Agent SDK, AI Studio) and explore how they can be applied to Canyon use cases. ## HOW YOU BECOME PART OF THE RACE • 5+ years of experience in **backend or full-stack engineering**, preferably in high-scale consumer or SaaS environments • Strong proficiency in P**ython, TypeScript,** and **JavaScript** • Practical experience working with **Azure** cloud infrastructure and **Terraform** • Comfortable with **React Native** development — able to deliver basic user interfaces when no dedicated frontend engineer is available • Proven experience integrating with **Salesforce APIs** (Commerce Cloud, Service Cloud, Marketing Cloud) • Strong understanding of secure API development, OAuth, webhooks, and REST/GraphQL APIs • Ability to move quickly: prototype → validate → scale, with good engineering hygiene • Fluent in Git workflows, CI/CD pipelines, and cloud-native deployment practices **Nice to Have:** • Experience with **AI/LLM** agents, LangChain, or vector DBs like Pinecone • Familiarity with **Google Cloud AI tools** (Vertex AI, AI Studio, Agent SDK) • Understanding of RAG pipelines and prompt orchestration patterns • Interest in the intersection of AI, commerce, and user experience
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